Binding memory fragments together to form declarative memories depends on cross-cortical storage
|
|
|
- Wesley Freeman
- 9 years ago
- Views:
Transcription
1 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 527 Chapter 21 Binding memory fragments together to form declarative memories depends on cross-cortical storage Ken A. Paller Introduction What happens in your brain to allow you to remember a recent acquaintance, your favourite film, your last summer vacation, or your first kiss? Investigations of such phenomena are founded on contemporary classification systems for memorial abilities. The category of declarative memory refers to the ability to remember prior autobiographical episodes and complex facts, as assessed by tests of recall or recognition (Squire 1987). Declarative memory provides each of us with a vast but imperfect storehouse of information, and a basis for our own life story. What would constitute a comprehensive scientific understanding of declarative memory? Relevant evidence concerning declarative memory includes physiological recordings in animals, cognitive modelling with computers, neuroimaging in patients with memory disorders, reversible magnetic neurodisruption in willing human volunteers, and more. A long-standing and venerable approach to exploring both neural and psychological underpinnings of memory is to investigate memory deficits in neurological patients. Neuropsychological investigations of amnesia have provided many insights into memory functions of the human brain (Schacter and Tulving 1994; Schacter 1996; Squire and Kandel 1999; Eichenbaum and Cohen 2001; Squire and Schacter 2002). Contemporary theoretical explanations of declarative memory based on this evidence generally describe how memory storage depends on representations distributed across networks in the cerebral cortex. Although it is beyond the scope of the present chapter to summarize each of these theories, I will attempt to present some views on declarative memory that fit well within the current zeitgeist. A core goal of research into declarative memory is to answer the question: How is declarative memory different from all other types of memory? By analogy with
2 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES the Four Questions traditionally recited by the youngest child at Passover celebrations, consider the following answers to this overarching question (Paller 2002), which will be elaborated on in subsequent sections. 1. Declarative memory is behaviourally distinct in that it is assessed using recall and recognition tests for facts and episodes. 2. Declarative memory has distinct subjective characteristics in that it is often accompanied by the experience of conscious recollection. 3. Declarative memory has a distinct cognitive structure that entails retrieving a conjunction of discrete informational fragments. 4. Declarative memory has a distinct neural basis that depends on storage across a set of neocortical modules, with enduring storage dependent upon a cross-cortical consolidation process mediated by cortico-hippocampal and cortico-thalamic networks. Although each of these four points is important, I take the position that our understanding of declarative memory can be significantly improved by striving to elucidate the connections between them. Thus binding is at the core of this understanding. Cross-cortical storage is a way to bind together the distinct neocortical ensembles that comprise a declarative memory. At the same time, these ensembles represent a set of discrete informational fragments that must be bound together. This neurocognitive binding of declarative memories is essential for the recall and recognition of facts and episodes, and it may also be a critical ingredient for the experience of conscious recollection. Neurocognitive foundations of declarative memory Investigations of amnesia have focused on patients who experience memory difficulties, but whose intellectual functioning is otherwise preserved. An amnesic patient may carry on an intelligent and detailed conversation but, shortly afterwards, be unable to remember that the conversation ever occurred. On the other hand, such patients often produce completely normal performance when it comes to a set of other memory phenomena collectively referred to as non-declarative memory (Table 21.1). These selective memory deficits imply that certain neural computations are essential for recalling and recognizing episodes and facts, but not for perceiving and manipulating the same types of information in other ways. Indeed, it appears that cortical networks play a major role in perceiving and manipulating the information inherent in an episode, whereas alterations in connections among neurons in these same networks are responsible for declarative memory storage.
3 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 529 NEUROCOGNITIVE FOUNDATIONS OF DECLARATIVE MEMORY 529 Table 21.1 Comparing declarative memory with other types of memory Type of memory Definition Findings in circumscribed amnesia Declarative memory Recall and recognition of Impairment in storage, producing deficits episodes and facts (i.e. episodic in new learning (anterograde amnesia) and memory and semantic memory) in remembering information acquired prior to illness or injury (retrograde amnesia) Immediate memory Information kept in mind by Preserved continuous rehearsal (e.g. verbal working memory) Non-declarative memory a Generally preserved, but with some notable exceptions Perceptual priming Speeded or more accurate Preserved if performance is not responses to a stimulus when contaminated by declarative memory (i.e. repeated, based on altered implicit memory testing with no explicit perceptual representations retrieval) Conceptual priming Speeded or more accurate Preserved in some cases, but further responses to a stimulus when investigation is required, particularly repeated, based on altered across stimulus domains conceptual representations Skills Behaviours that improve Preserved when skill acquisition is gradually with practice, accomplished without reliance on including cognitive skills declarative memory (which is not the case (e.g. reading mirror-reversed for many skills learned outside the text) and motor skills laboratory) Classical conditioning Learned associations between Preserved under conditions with temporal two stimuli, one of which overlap between conditioned and elicits an automatic response unconditioned stimuli a Also includes non-associative learning, habits, category learning, and artificial grammar learning. Here I will articulate a theoretical explanation for such memory disorders that postulates a core defect in a process called cross-cortical storage. This process is assumed to be essential for connecting the fragments of an episode or the various features of a complex fact together into a coherent and sturdy representation in the brain (Paller 1997, 2002). For example, fragments linked together in the cerebral cortex to form an enduring memory of an episode might include representations of various sights, sounds, smells, spatial layout of objects, people, actions, emotional colouring, a set of precipitating events, consequences of the episode, and so on. Cortical regions are clearly specialized for processing these different types of information. The cross-cortical storage process is believed to depend on a group of representations instantiated not in a single brain region but rather in many neocortical networks, each specialized for a different set of computations. The fundamental
4 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES characteristic of declarative memory is taken to be its dependence on a linking together of discrete representations in multiple neocortical zones. I propose that this fundamental neural characteristic strongly influences the form of the other characteristics of declarative memory: its cognitive characteristics, its behavioural characteristics, and its association with conscious recollection. Binding is a key aspect of declarative memory, but the term binding can take on substantively different meanings in different contexts. For example, binding of a different sort, feature integration, occurs during visual object perception when distinct features present at the same spatial location are processed such that representations of feature conjunctions are formed (see Chapter 12). Binding also occurs in immediate memory as multimodal and multidimensional representations of sensory input are formed and manipulated. With respect to declarative memory, binding concerns representational elements in memory that can be brought back together in a unitized way when a specific episode or fact is retrieved. Declarative memory binding (cross-cortical storage) is accomplished through network interactions that are not well understood but that probably involve changes in neuronal connectivity among various neocortical regions and the medial temporal region, as well as between the neocortex and the medial diencephalon. This hypothesis is based on the fact that amnesia generally results from damage to either the medial temporal or the diencephalic regions of the brain. Furthermore, cross-cortical storage is not finalized immediately after a learning episode; rather, it can evolve over an extended time course as the information becomes integrated with knowledge already accrued as well as with information acquired subsequently. This process of cross-cortical consolidation may continue for many years for a fact or event that is re-evaluated, re-interpreted, and repeatedly integrated with other information. Cross-cortical consolidation may proceed not only during waking, but also during sleep (Maquet et al. 2003; Paller and Voss 2004). It may also continue beyond a point in time when the memory has become cortically self-sufficient, i.e. when the memory would not be disrupted by hippocampal damage because critical cortical storage sites would be sufficient to support retrieval. This brain damage leads to difficulties in remembering declarative memories that are not cortically self-sufficient, including memories formed prior to the onset of amnesia (retrograde amnesia) and memories formed after the onset of amnesia (anterograde amnesia). Because memories are less likely to be cortically self-sufficient if acquired recently, retrograde amnesia is typically worse for recently acquired information. Many amnesic patients can remember episodes from their childhood and early adulthood as well as anyone.
5 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 531 NEUROCOGNITIVE FOUNDATIONS OF DECLARATIVE MEMORY 531 Normal declarative memory is a by-product of three stages of information processing. Encoding refers to the initial stage, when information arrives in the brain following sensory analysis or via imagination. The term encoding has been used to refer to the input and comprehension of this information (which is not problematic for amnesic patients), as well as to the transformation of the experience into a memory (which is impaired in amnesia). As described above, declarative memory formation is often not finalized at encoding but rather can continue over a prolonged storage period when memory is subject to change, consolidation, interference, distortion, and forgetting. Storage denotes this second stage of information processing, which may actually begin as soon as new information is acquired. The final stage, retrieval, takes place when memory is accessed and used. Amnesic patients are generally able to retrieve some memories, particularly those already consolidated to the point of cortical self-sufficiency. However, memory retrieval can be quite demanding and require effortful search strategies, such as when one searches for a relatively insignificant childhood memory. In such cases, contributions from the prefrontal cortex are especially important with respect to conducting a systematic search, evaluating products of retrieval, escaping from the present moment to bring a prior experience to mind, maintaining information in working memory, inhibiting the intrusion of irrelevant information, constructing a remembered experience based on retrieved information, evaluating the suitability of each bit of retrieved information, and so on. Accordingly, prefrontal damage alone can lead to memory retrieval difficulties, and when combined with medial temporal damage can lead to exacerbated memory deficits. The evidence that amnesic patients can show intact performance when it comes to various types of non-declarative memory (Table 21.1) emphasizes the idea that declarative memory depends on special storage mechanisms. Nondeclarative memory does not require the linking of distinct representations across multiple neocortical zones. Often, tests of non-declarative memory do not make explicit reference to prior learning episodes; such tests are called implicit memory tests. For instance, behavioural responses to a specific stimulus may be faster or more accurate as a result of prior experience, even when a person is unable to remember that prior experience. This behavioural effect constitutes priming (also known as item-specific implicit memory). With respect to the concept of binding, declarative memory retrieval can be conceptualized as requiring the reinstatement of cross-cortically bound information; in contrast, priming may depend on locally bound information within some discrete cortical networks. Evidence relevant to this idea can be obtained in functional neuroimaging
6 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES experiments which can succeed in dissociating these two types of memory and, ideally (as described below), contrasting them within the same experiment while other stimulus and task factors are held constant. For example, EEG measures of neural synchrony (e.g. von Stein et al. 1999; Weiss and Rappelsberger 2000) may also prove relevant for contrasting binding across multiple cortical regions in declarative memory retrieval as opposed to the more localized processing in priming. Ultimately, explorations of the fundamental differences between declarative and non-declarative memory should shed light on the neurocognitive mechanisms unique to declarative memory. Furthermore, understanding special cases when non-declarative memory is not preserved in amnesia can provide pivotal insights into the core defect. Future research may be able to test one particular prediction that follows from the foregoing discussion, namely that priming should be preserved in amnesia only when performance can be mediated through neural plasticity within one or more isolated neocortical zones. Special tests in which priming is mediated through neural plasticity connecting separate neocortical zones (see discussion of cross-domain conceptual priming below) should show that priming is impaired in amnesia. Electrophysiology of declarative memory To gain further insight into the distinct cognitive functions that combine to support declarative memory, it will be crucial to be able to measure these functions independently. Recordings of the electrical activity of the brain have shown that such measures can indeed be obtained so as to track relevant memory functions on a millisecond-by-millisecond basis. I will outline this evidence below, emphasizing findings from my laboratory. The EEG is a summation of electrical fields produced by the activity of vast numbers of neurons and recorded using electrodes placed harmlessly on an individual s head. Time-locked average responses known as event-related potentials (ERPs) can be calculated based on EEG responses to different categories of stimuli presented to the individual in a suitable experimental setting (for reviews of ERP studies of memory see Friedman and Johnson 2000; Mecklinger 2000; Paller 2000; Rugg and Wilding 2000; for a general review of ERP methods see Munte et al. 2000). ERPs can be characterized in terms of their latency (when they occur relative to the onset of a stimulus), their polarity (positive or negative at the recording location relative to a distant reference location), their amplitude (size of a potential deflection), and their topography (distribution of potential amplitudes across the head).
7 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 533 TRANSFORMING EXPERIENCE INTO MEMORY 533 The extant findings suggest that future prospects are strong for using electrophysiological measures of brain activity in healthy individuals to test and advance theoretical frameworks developed from neuropsychological studies of memory disorders. Despite the emphasis on ERP research, the general approach advocated here also holds for other methods of directly or indirectly measuring brain activity, including neuromagnetic, haemodynamic, and optical neuroimaging. Transforming experience into memory One way of investigating the formation of declarative memories is to contrast neural activity at encoding that predicts successful versus unsuccessful memory performance. Brain potentials that predict successful subsequent recall and recognition have been observed in many experiments. These potentials generally have a positive polarity over parietal or frontal brain regions relative to a distant reference location, reach maximal amplitudes ms or so after stimulus onset, and have larger amplitudes for remembered stimuli (reviewed by Wagner et al. 1999; Paller and Wagner 2002). Similar ERPs have been observed in a few experiments in which electrodes were implanted in the medial temporal region of the brain in patients who were candidates for surgery to relieve medically intractable epilepsy (Fernandez et al. 1999, 2002). ERPs have also been identified which predict whether a person will remember seeing a common object, as well as whether a person will claim to have seen an object than was not actually seen but rather was imagined (Gonsalves and Paller 2000). Stimuli to be remembered in the majority of these ERP studies have been visual words, but other stimuli have been used including pictures of objects, faces, spoken names, and environmental sounds. In one experiment, words were presented visually in an encoding phase followed by either an implicit or an explicit memory test (Paller 1990). In the implicit memory test, participants were instructed to complete three-letter stems with the first word to come to mind. The extent to which their completions matched words from encoding, compared with a baseline completion rate, provided a measure of priming. In the explicit memory test, participants attempted to recall words from the encoding phase to complete the stems. ERPs from the encoding phase were more positive for words recalled later than for words not recalled later. This systematic difference in brain potentials can be referred to as Dm-recall (an ERP Difference based on later memory performance on a recall test). On the other hand, ERPs did not reliably predict later priming. These findings, together with others, are consistent with the idea that Dm-recall indexed encoding activity specific to declarative memory formation, most likely
8 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES Acquisition Words later remembered Recognition test Old words New words Words later forgotten +5 µv ms ms Figure 21.1 Examples of ERPs investigated in memory paradigms demonstrating (a) a subsequent memory effect and (b) an old new effect. ERPs were elicited by words presented visually in the study and test phases of the same experiment (Paller et al. 1987). The recordings shown were obtained from electrodes located at the midline parietal scalp location in a group of 16 young adults. During the study phase (acquisition), participants responded to each word according to task requirements in four different tasks. During the test phase (recognition test), participants made yes no recognition judgements followed by a three-choice confidence rating. The subsequent memory effect was observed by averaging ERPs recorded during acquisition as a function of later recognition performance. The ERP difference between responses to subsequently remember and subsequently forgotten words (Dm ) was apparent from about ms after word onset. The old new effect was recorded during the recognition test and is shaded in (b). ERPs elicited by old words were more positive than ERPs elicited by new words. Results also showed that this old new effect was greater for words recognized with high confidence. However, old new effects of this sort cannot be unequivocally linked to declarative memory, given that priming also occurs (see Fig. 21.2). (Adapted from Paller et al ) pertaining to the meaning of each word rather than merely to its visual appearance. Similar Dm phenomena have also been observed using recognition tests, as shown in Figure 21.1(a). In an experiment with faces, ERPs at initial encoding predicted not only whether later recognition was successful, but also the experiential quality of the recognition experience (Yovel and Paller 2003). Positive ERPs from parietal regions over both hemispheres predicted recognition accompanied by retrieval of episodic detail, whereas only right-parietal ERPs predicted successful recognition without episodic detail, a phenomenon referred to as pure familiarity, i.e. when a face seems familiar but is not remembered. Other studies of ERPs, frequency-domain EEG measures, functional magnetic resonance images of brain activity, and spiking from single neurons have suggested that many cortical regions can be involved in memory encoding, and that hippocampal activity may be particularly relevant for the storage of declarative memories (Cameron et al. 2001; Fell et al. 2002; Paller and McCarthy 2002; Reber et al. 2002; Sederberg et al. 2003).
9 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 535 MEMORY RETRIEVAL 535 Many different types of processing at encoding can promote successful memory storage. Accordingly, many avenues of investigation will be required to understand the formation and preservation of declarative memories. Measures of neural activity predictive of subsequent memory, such as Dm-recall, provide a way in to this problem, and will ultimately be most useful to the extent that connections can be built between these measures and specific neurocognitive processes. This goal will require analysing neural activity as a function of successful versus unsuccessful encoding in conjunction with experimental manipulations that systematically affect memory encoding and storage. Memory retrieval The effectiveness of encoding and storage becomes evident only when stored information is subsequently accessed. In studies of retrieval, differences between ERP responses to new and old items in recognition tests have been researched in considerable detail. These so-called old new ERP effects are generally positive shifts in ERPs to old items relative to ERPs to new items, as shown in Figure 21.1(b). Early experiments on old new ERP effects prompted a range of conclusions without leading to consensus. In retrospect, firm interpretations were difficult because remembering in these circumstances generally involves a variety of different cognitive processes such that multiple brain potentials are produced in overlapping time intervals. As a result, functionally distinct brain signals within old new ERP effects were difficult to isolate from one another. For example, consider two memory phenomena that can co-occur when a person views a face: retrieval of prior episodes involving the same face, and faster or more accurate processing due to prior perceptual analysis of that same face, as indexed by the behavioural phenomenon of perceptual priming. Thus special tactics are needed to isolate ERPs associated with these different sorts of memory (Fig. 21.2). Indeed, it is notoriously difficult to prevent people from systematically recalling prior episodes when stimuli are repeated, and this incidental retrieval can contaminate neural analyses of priming. One approach to this problem made use of a condition in which faces were encoded only to a minimal extent (Paller et al. 2003a). Each face was presented at a central location for 100 ms while participants were required to make a difficult visual discrimination at another location. When the face disappeared, a noise stimulus appeared centrally to limit face encoding further. On a subsequent recognition test, participants performance was no better than would be expected if they were purely guessing. However, priming was still observed for these faces in an implicit memory test. Thus ERPs elicited by these faces were associated with priming uncontaminated by conscious remembering. Within the same
10 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES Identified Unidentified Fz Fz Cz Cz Pz Pz +4 µv ms Image task words Letter task words Unstudied words Figure 21.2 Specific electrophysiological correlates of recollection were first isolated by examining ERP old new effects based on a study phase manipulation that dissociated priming and recollection (Paller and Kutas 1992). In general, ERP differences between old and new items cannot unequivocally be associated with declarative memory, but in the experiment conducted by Paller and Kutas (1992) two types of old items were compared to achieve this goal. Memory results were critical in showing that recall and recognition were superior for words studied in the image task compared with words studied in the letter task, whereas equivalent levels of word-identification priming were observed in these two conditions. ERP elicited during the test phase, when this priming test was given, differed very little for words that could not be identified correctly (right). However, words that participants identified (left) elicited ERPs that differed systematically between conditions. The usual old new effect was observed, in that ERPs were more positive for old words than for new words. Importantly, the ERP difference between image task words and letter task words (two conditions with matched priming results) showed for the first time that this portion of the old new effect beginning at a latency of 500 ms was associated specifically with declarative memory retrieval. Moreover, given that the manipulation influenced free recall performance, recollection was implicated. This ERP correlate of recollection was shown to be functionally distinct from an earlier portion of the old new effect that was present for both types of old words and visible from ms. Recordings shown were from midline frontal (Fz), central (Cz), and parietal (Pz) locations. (Adapted from Paller and Kutas 1992.) experimental runs of this experiment, other faces were presented for a longer duration with no competing stimulus discrimination requirement to limit encoding; these faces were remembered well by the participants. The two conditions provide for a direct comparison between ERPs associated with conscious memory for faces and ERPs associated with priming. As illustrated in Figure 21.3, recognizing a repeated face was associated with positive ERPs at the rear of the head 400 to 800 ms after face onset (Fig. 21.3(a)), whereas priming was
11 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 537 (a) (b) 0 ms Recollection 0 ms Priming µv µv (c) (d) 0 ms 0 ms Recollection 700 Familiarity µv µv Figure 21.3 Topographic maps of brain potentials associated with different memory phenomena: (a) recollection and (b) perceptual priming in one experiment (Paller et al. 2003a); (c) recollection and (d) pure familiarity in another experiment (Yovel and Paller et al. 2004). Differences in potentials between pairs of conditions are shown on schematic heads as if viewed from above (nose at the top), interpolated from 21 scalp locations. Measurements were made over eight 100-ms intervals beginning at the time shown below each map, where time 0 is the time of stimulus onset. Thus each panel shows potential differences for eight time intervals, arranged like a stopwatch that runs for 800 ms. Potentials are displayed according to a different microvolt scale in each panel, together with isopotential lines. In all panels, the largest differences are signified by the lightest colours (yellow and white). Polarity is negative only in (b), and values beyond the negative range of the scale in the ms map in (d) are shown as black. In one experiment (Paller et al. 2003a), subtractions were computed to isolate potentials associated with (a) recollection prompted by faces and (b) perceptual priming with faces. The two contrasts were between remembered faces and new faces, and between primed but forgotten faces and new faces, respectively. Quite different electrical signals were observed; priming was associated with negativity at ms towards the front of the head, whereas recollection was associated with positivity at ms towards the rear of the head. In the other experiment (Yovel and Paller 2004), subtractions were computed to isolate potentials associated with (c) recollection and (d) pure familiarity for faces. These two contrasts were between faces remembered with associative information and new faces, and between faces recognized without episodic retrieval and new faces, respectively. Electrical signals of pure familiarity did not resemble electrical signals of face priming, but rather seemed like reduced-amplitude versions of signals of face recollection. (Adapted from Paller et al. 2003a; Paller 2004; Yovel and Paller 2004.)
12 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES associated with negative ERPs at the front of the head, particularly on the right side 200 to 400 ms after face onset (Fig. 21.3(b)). In another experiment we used a different strategy to isolate signals associated with face recollection (Paller et al. 1999). At encoding, participants attempted to memorize 20 faces accompanied by a spoken vignette (to simulate actually meeting the individual pictured) and were told to forget 20 other faces. One vignette, for example, was: I m Alison; I won the Boston Marathon twice. Later recognition was superior for the former compared with the latter faces, but the magnitude of priming observed during implicit memory testing was the same for the two groups of faces. In the implicit memory test face identification was made difficult by obscuring portions of each face with superimposed black pixels. In order to perform the famous non-famous face discriminations required in this test, face identification was required, and prior exposure to a face presumably facilitated the processing of these partially obscured faces. Priming effects were observed as both faster response times and high response accuracy for faces repeated from the encoding phase compared with new faces. Therefore comparing ERPs for the two kinds of repeated faces revealed a neural signal of face recollection uncontaminated by face priming. This neural signal of recollection bore a strong resemblance to the spatiotemporal electrical patterns associated with face recollection in other studies (e.g. Fig. 21.3(a)). Analogous results have been obtained using verbal stimuli to obtain ERP correlates of recollection cued by words, as shown in Figure In one follow-up study using ERP and functional MRI methods in different groups of subjects, a contrast between remembered faces learned with a spoken vignette and new faces revealed left hippocampal, cortical (left insula and left temporal), and cerebellar activity (Paller et al. 2003b). Another experiment juxtaposed electrical signals of remembering a face per se and remembering a face together with corresponding biographical facts learned at encoding (Paller et al. 2000), such as the name Alison and the winning of the Boston Marathon. Brain activity was observed over posterior brain regions in both situations, whereas additional activity that was slightly more anterior was observed only when biographical retrieval occurred. Recalling person-specific information, as in the latter case, is dependent on a very high degree of binding, as diverse types of information must be linked together, and thus is perhaps a prototypical example of the sort of declarative memory retrieval that would naturally give rise to conscious recollection. Awareness of remembering Despite the strong connection between declarative memory and the experience of remembering, these phenomena need not always occur together. Declarative
13 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 539 AWARENESS OF REMEMBERING 539 memory provides some of the necessary precursors at memory retrieval, but it is not sufficient to produce the awareness of remembering. Rather, conscious memory depends on a further inference the explicit idea that the current contents of consciousness are derived from memory retrieval. Thus dysfunctional cross-cortical storage in amnesia has an indirect impact on awareness of remembering. A strong and rather selective disruption of declarative memory will also disrupt awareness of remembering because memory for the spatiotemporal context of an episode is a critical factor that can help one to infer that a memory for a prior event has been retrieved (Johnson and Chalfonte 1994). This function falls within the aforementioned category of prefrontal functions that contribute to memory retrieval, together with strategic search, evaluation, and working memory (or working-with-memory (Moscovitch 1992)). Indeed, frontal brain potentials associated with retrieval functions have been identified in many studies (Ranganath and Paller 1999; Rugg and Wilding 2000). Thus neural signals of memory must be evaluated with respect to the possibility that declarative memory retrieval need not necessarily give rise to awareness of remembering. Sometimes a stimulus can seem familiar even in the absence of conscious remembering. This experience is called pure familiarity. The epitome of a pure familiarity experience is the so-called butcher-on-the-bus phenomenon (Mandler 1980), which is when one believes that a person is familiar (often upon seeing their face in an atypical context) while failing to recall any information whatsoever about that person. Indeed, when the butcher is encountered in the context of a bus, very few clues are available concerning the identity of the butcher compared with those typically present when the butcher is encountered in the butcher s shop. Particularly informative results were obtained by comparing circumstances when a face provoked a full-blown recollective experience driven by remembering contextual features associated with that face with circumstances when a face provoked the unsubstantiated impression of memory known as pure familiarity (Yovel and Paller 2004). In comparison with the electrical signals associated with face-induced recollection (Fig. 21.3(c)), electrical signals associated with pure familiarity with faces (Fig. 21.3(d)) were similar but exhibited reduced amplitudes. Notably, electrophysiological correlates of pure familiarity with faces and of priming with faces (Fig. 21.3(d) and Fig. 21.3(b), respectively) were highly divergent, consistent with the notion that familiarity is not a straightforward outcome of priming, despite superficial similarities between familiarity and priming. Pure familiarity can instead be conceived of as a result of limited stimulus recognition without contextual retrieval adequate for triggering episodic recollection.
14 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES Border areas of declarative memory Current theories of memory address a variety of memory phenomena and their neural implementation, but many questions remain open. Some subtle but critical questions concern memory phenomena at the border between declarative and non-declarative memory, such as some subtypes of priming. If amnesia fundamentally entails a disruption of memory functions dependent upon crosscortical storage, as proposed, priming should remain preserved only if mediated within single neocortical zones. Conceptual priming is one subtype of priming that deserves further study; it is believed to arise from altered representations of the meaning of a stimulus rather than merely the physical features of a stimulus. Conceptual priming can cross stimulus domains, such as when hearing a word primes its meaning so as to facilitate processing of that meaning when subsequently reading that word, or when reading the name of a famous person primes knowledge of their identity so as to facilitate processing of person identity when subsequently viewing that person s face. Indeed, a putative electrical signal of conceptual priming with words has been identified and shown to be preserved in patients with deficient declarative memory (Olichney et al. 2000; see also Yovel and Paller 2004). This signal may reflect a component of exactly the type of memory that allows amnesic patients to engage fully in complex conversations, all the while maintaining their comprehension abilities and focus on the topic at hand. The neural processing responsible for conceptual priming is not well understood. Moreover, it may be useful to assume that there are multiple types of conceptual priming. For example, conceptual priming may in some circumstances reflect activation of the representation of the meaning of a word, in which case it is plausible that such a representation may be instantiated entirely within the neurons of a discrete neocortical zone. Likewise, in some cases new associations may be learned to the point where relevant information takes the form of a unitized representation dependent on a single neocortical zone. On the other hand, there may be many cases when conceptual priming depends on links among multiple neocortical zones, such as when very different types of perceptual objects are associated with one another. According to the present account, priming in such circumstances would be expected to depend on hippocampal processing and to be impaired in amnesic patients. Testing these predictions empirically will not be easy, but doing so will have important theoretical implications and thus may help to advance our understanding of the neural substrates of memory.
15 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 541 REFERENCES 541 Conclusions We now have the ability to record neural signals associated with several of the many processes that contribute to declarative and non-declarative memory. These neural signals provide a vital window on the physiology of memory that will become increasingly important for further explorations of the neurocognitive substrates of remembering. Therefore future efforts should be aimed at elucidating exactly how declarative memory differs from priming and other types of non-declarative memory. What is unique about declarative encoding, storage, and retrieval? What memory processes support priming when is it preserved in amnesia, and how do they differ from those that support declarative memory? Does remembering in the absence of contextual retrieval, as exemplified by pure familiarity experiences, rely on any memory processing in common with priming, or is it more closely allied with declarative memory? What processing underlies priming phenomena that are impaired in amnesia, and what might this processing have in common with declarative memory? A promising strategy to promote progress on these and related issues is to isolate and characterize neurophysiological events specifically responsible for memory functions. A variety of techniques for measuring brain activity can be used together to study human memory and memory disorders, and to provide data needed to advance and refine neurobiological hypotheses concerning memory, such as those outlined above. This approach may also lead to an eventual understanding of how neurocognitive processing gives rise to the conscious experience of remembering. We might thereby obtain a modicum of insight into the neurocognitive substrates of human awareness in general a supreme challenge that has historically remained out of the reach of humankind but which now appears to be gradually yielding to determined scientific pursuit. Acknowledgements Portions of this chapter were extracted or adapted with permission from a paper published in Current Directions in Psychological Science (Paller 2004). Research support from the US National Institutes of Health is gratefully acknowledged. References Cameron, K.A., Yashar, S., Wilson, C.L., and Fried, I. (2001). Human hippocampal neurons predict how well word pairs will be remembered. Neuron, 30, Eichenbaum, H. and Cohen, N.J. (2001). From Conditioning to Conscious Recollection: Memory Systems of the Brain. New York: Oxford University Press.
16 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES Fell, J, Klaver, P., Elger, C.E. and Fernandez, G. (2002). The interaction of rhinal cortex and hippocampus in human declarative memory formation. Reviews in the Neurosciences, 13, Fernandez, G., Effern, A., Grunwald, T., et al. (1999). Real-time tracking of memory formation in the human rhinal cortex and hippocampus. Science, 285, Fernandez, G., Klaver, P., Fell, J., Grunwald, T., and Elger, C.E. (2002). Human declarative memory formation: segregating rhinal and hippocampal contributions. Hippocampus, 12, Friedman, D. and Johnson, R., Jr (2000). Event-related potential (ERP) studies of memory encoding and retrieval: a selective review. Microscopy Research and Technique, 51, Gonsalves, B. and Paller, K.A. (2000). Neural events that underlie remembering something that never happened. Nature Neuroscience, 3, Johnson, M.K. and Chalfonte, B.L. (1994). Binding complex memories: the role of reactivation and the hippocampus. In Memory Systems 1994 (ed D.L. Schacter and E. Tulving). Cambridge, MA: MIT Press, pp ). Mandler, G. (1980). Recognizing: the judgment of previous occurrence. Psychological Review, 87, Maquet, P., Smith, S., and Stickgold, R. (ed) (2003). Sleep and Brain Plasticity. New York: Oxford University Press. Mecklinger, A. (2000). Interfacing mind and brain: a neurocognitive model of recognition memory. Psychophysiology, 37, Moscovitch, M. (1992). Memory and working-with-memory: a component process model based on modules and central systems. Journal of Cognitive Neuroscience, 4, Munte, T.F., Urbach, T.P., Düzel, E., and Kutas, M. (2000). Event-related brain potentials in the study of human cognition and neuropsychology. In Handbook of Neuropsychology, Vol. 1 (ed F. Boller, J. Grafman, and G. Rizzolatti). Amsterdam: Elsevier, pp Olichney, J.M., Van Petten, C., Paller, K.A., Salmon, D.P., Iragui, V.J., and Kutas, M. (2000). Word repetition in amnesia: electrophysiological measures of impaired and spared memory. Brain, 123, Paller, K.A. (1990). Recall and stem-completion priming have different electrophysiological correlates and are modified differentially by directed forgetting. Journal of Experimental Psychology: Learning, Memory and Cognition, 16, Paller, K.A. (1997). Consolidating dispersed neocortical memories: the missing link in amnesia. Memory, 5, Paller, K.A. (2000). Neural measures of conscious and unconscious memory. Behavioural Neurology, 12, Paller, K.A. (2002). Cross-cortical consolidation as the core defect in amnesia: prospects for hypothesis-testing with neuropsychology and neuroimaging. In Neuropsychology of Memory (3rd edn) (ed L.R. Squire and D.L. Schacter). New York: Guilford Press, pp ). Paller, K.A. (2004). Electrical signals of memory and of the awareness of remembering. Current Directions in Psychological Science, 13,
17 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page 543 REFERENCES 543 Paller, K.A. and Kutas, M. (1992). Brain potentials during memory retrieval: neurophysiological indications of the distinction between conscious recollection and priming. Journal of Cognitive Neuroscience, 4, Paller, K.A. and McCarthy, G. (2002). Field potentials in the human hippocampus during the encoding and recognition of visual stimuli. Hippocampus, 12, Paller, K.A. and Voss J (2004). Memory reactivation and consolidation during sleep. Learning and Memory, 11, Paller, K.A. and Wagner, A.D. (2002). Observing the transformation of experience into memory. Trends in Cognitive Sciences, 6, Paller, K.A., Kutas, M., and Mayes, A.R. (1987). Neural correlates of encoding in an incidental learning paradigm. Electroencephalography and Clinical Neurophysiology, 67, Paller, K.A., Bozic, V.S., Ranganath, C., Grabowecky, M., and Yamada, S. (1999). Brain waves following remembered faces index conscious recollection. Cognitive Brain Research, 7, Paller, K.A., Gonsalves, B., Grabowecky M., Bozic, V.S., and Yamada, S. (2000). Electrophysiological correlates of recollecting faces of known and unknown individuals. NeuroImage, 11, Paller, K.A., Hutson, C.A., Miller, B.B., and Boehm, S.G. (2003a). Neural manifestations of memory with and without awareness. Neuron, 38, Paller, K.A., Ranganath, C., Gonsalves, B., et al. (2003b). Neural correlates of person recognition. Learning and Memory, 10, Ranganath, C. and Paller, K.A. (1999). Frontal brain potentials during recognition are modulated by requirements to retrieve perceptual detail. Neuron, 22, Reber, P.J., Siwiec, R.M., Gitelman, D.R., Parrish. T.B., Mesulam, M.-M., and Paller, K.A. (2002). Neural correlates of successful encoding identified using functional magnetic resonance imaging. Journal of Neuroscience, 22, Rugg, M.D. and Wilding, E.L. (2000). Retrieval processing and episodic memory. Trends in Cognitive Science, 4, Schacter, D.L. (1996). Searching for Memory: The Brain, the Mind, and the Past. New York: BasicBooks. Schacter, D.L. and Tulving E. (ed) (1994). Memory Systems Cambridge, MA: MIT Press. Sederberg, P.B., Kahana, M.J., Howard, M.W., Donner, E., and Madsen, J.R. (2003). Theta and gamma oscillations during encoding predict subsequent recall. Journal of Neuroscience, 23, Squire, L.R. (1987). Memory and Brain. New York: Oxford University Press. Squire, L.R. and Kandel, E.R. (1999). Memory: From Mind to Molecules. New York: Scientific American Library. Squire, L.R. and Schacter, D.L. (ed) (2002). Neuropsychology of Memory (3rd edn). New York: Guilford Press. von Stein, A., Rappelsberger, P., Sarnthein, J., and Petsche, H. (1999). Synchronization between temporal and parietal cortex during multimodal object processing in man. Cerebral Cortex, 9,
18 21-Zimmer-Chap21.qxd 15/12/2005 5:21 PM Page BINDING MEMORY FRAGMENTS TOGETHER TO FORM DECLARATIVE MEMORIES Wagner, A.D., Koutstaal, W., and Schacter, D.L. (1999). When encoding yields remembering: insights from event-related neuroimaging, Philosophical Transactions of the Royal Society of London, Series B, Biological Sciences, 354, Weiss, S. and Rappelsberger, P. (2000). Long-range EEG synchronization during word encoding correlates with successful memory performance. Cognitive Brain Research, 9, Yovel, G. and Paller, K.A. (2004). The neural basis of the butcher-on-the-bus phenomenon: when a face seems familiar but is not remembered. NeuroImage, 21,
Brain Structures That are Involved with Memory
Early Theories of Brain Structures That are Involved with Psychology 372 Sensation Sensory Attention Rehearsal STM Storage Retrieval Physiological Psychology Steven E. Meier, Ph.D. Listen to the audio
Obtaining Knowledge. Lecture 7 Methods of Scientific Observation and Analysis in Behavioral Psychology and Neuropsychology.
Lecture 7 Methods of Scientific Observation and Analysis in Behavioral Psychology and Neuropsychology 1.Obtaining Knowledge 1. Correlation 2. Causation 2.Hypothesis Generation & Measures 3.Looking into
Chapter 7: Memory. Memory
Chapter 7: Memory Case Study: H.M. and His Missing Memories Section 1: Memory Classifications and Processes Section 2: Three Stages of Memory Section 3: Forgetting and Memory Improvement Experiment: Applying
Memory: The Long and Short of It
Memory: The Long and Short of It Memory s Beginnings Atkinson and Shiffrin (1968) Encoding Converting information into a form that can be entered into memory Storage Retaining information over varying
2 Neurons. 4 The Brain: Cortex
1 Neuroscience 2 Neurons output integration axon cell body, membrane potential Frontal planning control auditory episodes soma motor Temporal Parietal action language objects space vision Occipital inputs
Factorial Design. A factorial design. 9.63 Laboratory in Visual Cognition. Effect of Attraction x Emotion
9.63 aboratory in Visual Cognition Fall 29 Factorial Design & Interaction Factorial Design Two or more independent variables Simplest case: a 2 x 2 design (2 factors and 2 conditions per factor) A factorial
COGNITIVE PSYCHOLOGY
COGNITIVE PSYCHOLOGY ROBERT J. STERNBERG Yale University HARCOURT BRACE COLLEGE PUBLISHERS Fort Worth Philadelphia San Diego New York Orlando Austin San Antonio Toronto Montreal London Sydney Tokyo Contents
9.63 Laboratory in Cognitive Science. Factorial Design
9.63 Laboratory in Cognitive Science Fall 25 Lecture 4a Factorial Design: Interaction Aude Oliva Ben Balas, Charles Kemp Factorial Design Two or more factors in such a way that all the possible combinations
Memory Consolidation: Systems
Memory Consolidation: Systems 741 Memory Consolidation: Systems K A Paller, Northwestern University, Evanston, IL, USA ã 29 Elsevier Ltd. All rights reserved. The Consolidation of a Memory At the moment
Electrophysiology of language
Electrophysiology of language Instructors: Ina Bornkessel (Independent Junior Research Group Neurotypology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig); Matthias Schlesewsky (Department
Theta, Gamma, and Working Memory
Theta, Gamma, and Working Memory Lecture 3.8 David S. Touretzky November, 2015 Outline Theta rhythm and gamma rhythms Phase precession in hippocampus Theta and gamma in entorhinal cortex Lisman working
Memory Rehabilitation in Early Dementia. Diana Golvers Clinical Psychologist Central Dementia Service
Memory Rehabilitation in Early Dementia Diana Golvers Clinical Psychologist Central Dementia Service Loss of Memory in AD Memory impairment earliest manifestation of AD and other dementias Major impact
Dr V. J. Brown. Neuroscience (see Biomedical Sciences) History, Philosophy, Social Anthropology, Theological Studies.
Psychology - pathways & 1000 Level modules School of Psychology Head of School Degree Programmes Single Honours Degree: Joint Honours Degrees: Dr V. J. Brown Psychology Neuroscience (see Biomedical Sciences)
Encoding and Retrieval from Long-Term Memory
SMITMC05_0131825089.QXD 3/29/06 12:49 AM Page 192 CHAPTER 5 Encoding and Retrieval from Long-Term Memory 1. The Nature of Long-Term Memory 1.1. The Forms of Long-Term Memory 1.2. The Power of Memory: The
CONTE Summer Lab Experience Application
CONTE Summer Lab Experience Application When preparing your application for funding from the CONTE Summer Lab Experience through the Undergraduate Program in Neuroscience, please read these instructions
FUNCTIONAL EEG ANALYZE IN AUTISM. Dr. Plamen Dimitrov
FUNCTIONAL EEG ANALYZE IN AUTISM Dr. Plamen Dimitrov Preamble Autism or Autistic Spectrum Disorders (ASD) is a mental developmental disorder, manifested in the early childhood and is characterized by qualitative
Skill acquisition. Skill acquisition: Closed loop theory Feedback guides learning a motor skill. Problems. Motor learning practice
Motor learning theories closed loop theory schema theory hierarchical theory Skill acquisition Motor learning practice Fitt s three stages motor imagery physical changes Skill acquisition: Closed loop
Attention, memory and learning and acquired brain injury. Vicki Anderson. Jamie M. Attention & learning: an information processing model
Attention, memory and learning and acquired brain injury Vicki Anderson Jamie M. Childhood acquired amnesia Attention & learning: an information processing model MANAGEMENT Organising, problem solving
Human recognition memory: a cognitive neuroscience perspective
Review TRENDS in Cognitive Sciences Vol.7 No.7 July 2003 313 Human recognition memory: a cognitive neuroscience perspective Michael D. Rugg 1 and Andrew P. Yonelinas 2 1 Institute of Cognitive Neuroscience
Epilepsy and Neuropsychology Dr. Sare Akdag, RPsych
Epilepsy and Neuropsychology Dr. Sare Akdag, RPsych Most people living with epilepsy do not experience serious problems with their thinking. However, there are aspects of thinking that can be affected
PS3021, PS3022, PS4040
School of Psychology Important Degree Information: B.Sc./M.A. Honours The general requirements are 480 credits over a period of normally 4 years (and not more than 5 years) or part-time equivalent; the
NeuroImage 62 (2012) 439 450. Contents lists available at SciVerse ScienceDirect. NeuroImage. journal homepage: www.elsevier.
NeuroImage 62 (212) 39 5 Contents lists available at SciVerse ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/ynimg Examining ERP correlates of recognition memory: Evidence of accurate
Bayesian probability theory
Bayesian probability theory Bruno A. Olshausen arch 1, 2004 Abstract Bayesian probability theory provides a mathematical framework for peforming inference, or reasoning, using probability. The foundations
PRIMING OF POP-OUT AND CONSCIOUS PERCEPTION
PRIMING OF POP-OUT AND CONSCIOUS PERCEPTION Peremen Ziv and Lamy Dominique Department of Psychology, Tel-Aviv University [email protected] [email protected] Abstract Research has demonstrated
Masters research projects. 1. Adapting Granger causality for use on EEG data.
Masters research projects 1. Adapting Granger causality for use on EEG data. Background. Granger causality is a concept introduced in the field of economy to determine which variables influence, or cause,
Cognitive Neuroscience. Questions. Multiple Methods. Electrophysiology. Multiple Methods. Approaches to Thinking about the Mind
Cognitive Neuroscience Approaches to Thinking about the Mind Cognitive Neuroscience Evolutionary Approach Sept 20-22, 2004 Interdisciplinary approach Rapidly changing How does the brain enable cognition?
Direct Evidence Delay with A Task Decreases Working Memory Content in Free Recall
1 Direct Evidence Delay with A Task Decreases Working Memory Content in Free Recall Eugen Tarnow, Ph.D. 1 18-11 Radburn Road, Fair Lawn, NJ 07410, USA [email protected] 1 The author is an independent
ERPs in Cognitive Neuroscience
Center for Neuroscience UNIVERSITY OF CALIFORNIA AT DAVIS ERPs in Cognitive Neuroscience Charan Ranganath Center for Neuroscience and Dept of Psychology, UC Davis EEG and MEG Neuronal activity generates
Andrea Greve, a, Mark C.W. van Rossum, a,1 and David I. Donaldson b,2. Introduction
www.elsevier.com/locate/ynimg NeuroImage 34 (2007) 801 814 Investigating the functional interaction between semantic and episodic memory: Convergent behavioral and electrophysiological evidence for the
Reinstating effortful encoding operations at test enhances episodic remembering
Reinstating effortful encoding operations at test enhances episodic remembering Stephen A. Dewhurst Department of Psychology, Lancaster University, England Karen R. Brandt School of Psychology, University
PERSPECTIVE. How Top-Down is Visual Perception?
PERSPECTIVE How Top-Down is Visual Perception? featuring new data (VSS Poster): Attentional Cycles in Detecting Simple Events within Complex Displays Sunday PM Poster #36.301, VSS 2014 Thomas Sanocki,
Therapy software for enhancing numerical cognition
Therapy software for enhancing numerical cognition T. Käser 1, K. Kucian 2,3, M. Ringwald 5, G. Baschera 1, M. von Aster 3,4, M. Gross 1 1 Computer Graphics Laboratory, ETH Zurich, Zurich, Switzerland
Concept Formation. Robert Goldstone. Thomas T. Hills. Samuel B. Day. Indiana University. Department of Psychology. Indiana University
1 Concept Formation Robert L. Goldstone Thomas T. Hills Samuel B. Day Indiana University Correspondence Address: Robert Goldstone Department of Psychology Indiana University Bloomington, IN. 47408 Other
Functional neuroimaging. Imaging brain function in real time (not just the structure of the brain).
Functional neuroimaging Imaging brain function in real time (not just the structure of the brain). The brain is bloody & electric Blood increase in neuronal activity increase in metabolic demand for glucose
Types of Psychology. Alex Thompson. Psychology Class. Professor Phelps
Running Head: PSYCHOLOGY 1 Types of Psychology Alex Thompson Psychology Class Professor Phelps March 4, 2014 PSYCHOLOGY 2 Types of Psychology Developmental psychology Developmental psychology entails the
PSYC PSYCHOLOGY. 2011-2012 Calendar Proof
PSYC PSYCHOLOGY PSYC1003 is a prerequisite for PSYC1004 and PSYC1004 is a prerequisite for all remaining Psychology courses. Note: See beginning of Section F for abbreviations, course numbers and coding.
Neuropsychology Research Program: Thomas P. Ross, Ph.D.
Neuropsychology Research Program: Thomas P. Ross, Ph.D. My primary research program is devoted to the psychometric examination of neuropsychological tests of executive functioning, and other abilities
Abstraction in Computer Science & Software Engineering: A Pedagogical Perspective
Orit Hazzan's Column Abstraction in Computer Science & Software Engineering: A Pedagogical Perspective This column is coauthored with Jeff Kramer, Department of Computing, Imperial College, London ABSTRACT
2012 Psychology GA 1: Written examination 1
2012 Psychology GA 1: Written examination 1 GENERAL COMMENTS This examination was the final Unit 3 June examination for the VCE Psychology Study Design. From 2013, a single examination covering both Units
CURRENT POSITION Brown University, Providence, RI Postdoctoral Research Associate
ERIKA M. NYHUS Brown University, Cognitive, Linguistic, and Psychological Sciences, Providence, RI 02912 720-352- 3411 [email protected] CURRENT POSITION Brown University, Providence, RI Postdoctoral
Agent Simulation of Hull s Drive Theory
Agent Simulation of Hull s Drive Theory Nick Schmansky Department of Cognitive and Neural Systems Boston University March 7, 4 Abstract A computer simulation was conducted of an agent attempting to survive
Learning with Your Brain. Teaching With the Brain in Mind
Learning with Your Brain Should what (and how) we teach be associated with what we know about the brain and the nervous system? Jonathan Karp, Ph.D. Dept of Biology 5/20/2004 Teaching With the Brain in
COURSE DESCRIPTIONS 科 目 簡 介
COURSE DESCRIPTIONS 科 目 簡 介 COURSES FOR 4-YEAR UNDERGRADUATE PROGRAMMES PSY2101 Introduction to Psychology (3 credits) The purpose of this course is to introduce fundamental concepts and theories in psychology
KNOWLEDGE ORGANIZATION
KNOWLEDGE ORGANIZATION Gabi Reinmann Germany [email protected] Synonyms Information organization, information classification, knowledge representation, knowledge structuring Definition The term
Psychology (MA) Program Requirements 36 credits are required for the Master's Degree in Psychology as follows:
Psychology (MA) ACADEMIC DIRECTOR: Carla Marquez-Lewis CUNY School of Professional Studies 101 West 31 st Street, 7 th Floor New York, NY 10001 Email Contact: Carla Marquez-Lewis, [email protected]
How Does Memory Change With Age? Class Objectives. Think about the importance of your memory 3/22/2011. The retention of information over time
How Does Memory Change With Age? The retention of information over time Class Objectives What is memory? What factors influence our memory? Think about the importance of your memory It s hard to even attempt
Lecture 2, Human cognition
Human Cognition An important foundation for the design of interfaces is a basic theory of human cognition The information processing paradigm (in its most simple form). Human Information Processing The
Memory for perceived and imagined pictures an event-related potential study
Neuropsychologia 40 (2002) 986 1002 Memory for perceived and imagined pictures an event-related potential study M. Johansson a,, G. Stenberg b, M. Lindgren a,c, I. Rosén c a Department of Psychology, Lund
Kings Canyon Unified School District Gifted and Talented Education Program GATE
Kings Canyon Unified School District Gifted and Talented Education Program GATE Kings Canyon Unified School District offers a variety of programs to develop unique education opportunities for high-achieving
MEMORY MODULE A Training Module for Parents and Educators of Children with Traumatic Brain Injury.
MEMORY MODULE A Training Module for Parents and Educators of Children with Traumatic Brain Injury. Funded by an IDEA Discretionary Grant #2007-9911-22 Wisconsin Department of Public Instruction (http://www.dpi.wi.gov)
Okami Study Guide: Chapter 8
1 Chapter in Review 1. Memory may be defined as a group of mechanisms and systems that encode, store, and retrieve information. The modal model of memory describes three stages and stores in the memory
Bedside cognitive examination beyond the MMSE. Dr Richard Perry Dept of Neurosciences Imperial College
Bedside cognitive examination beyond the MMSE Dr Richard Perry Dept of Neurosciences Imperial College Overview Initial observations Cognitive rating scales Assessing cognitive domains Memory Language Visuospatial
An Introduction to ERP Studies of Attention
An Introduction to ERP Studies of Attention Logan Trujillo, Ph.D. Post-Doctoral Fellow University of Texas at Austin Cognitive Science Course, Fall 2008 What is Attention? Everyone knows what attention
Structured Interviewing:
Structured Interviewing: Interview Board Guide How to conduct structured interviews in the appointment process Assessment Oversight and Personnel Psychology Centre TABLE OF CONTENTS INTRODUCTION... 3 SECTION
Jonathan Robert Folstein, Ph.D. [email protected]. 1992-1996 Macalester College, St. Paul, Minnesota B.A., Philosophy
Jonathan Robert Folstein, Ph.D. Address: 2137 Fairfax Ave. #12 Nashville, TN 37212 email: Citizenship: [email protected] USA Education 1992-1996 Macalester College, St. Paul, Minnesota B.A.,
What is Narrative Exposure Therapy (NET)?
What is Narrative Exposure Therapy (NET)? Overview NET is a culturally universal short-term intervention used for the reduction of traumatic stress symptoms in survivors of organised violence, torture,
Neuropsychology testing the brain
Chapter 22 Neuropsychology testing the brain SALLIE BAXENDALE Institute of Neurology, University College London, National Hospital for Neurology and Neurosurgery, Queen Square, London, and Epilepsy Society,
AN INTRODUCTION TO PSYCHOLOGY
An Introduction to MODULE - I 1 AN INTRODUCTION TO PSYCHOLOGY As human beings our curiosity drives us to know the reasons behind various events happening around us. Whenever we meet somebody or see someone
Interpretive Report of WMS IV Testing
Interpretive Report of WMS IV Testing Examinee and Testing Information Examinee Name Date of Report 7/1/2009 Examinee ID 12345 Years of Education 11 Date of Birth 3/24/1988 Home Language English Gender
LEARNING THEORIES Ausubel's Learning Theory
LEARNING THEORIES Ausubel's Learning Theory David Paul Ausubel was an American psychologist whose most significant contribution to the fields of educational psychology, cognitive science, and science education.
Psychology. Kansas Course Code # 04254
High School Psychology Kansas Course Code # 04254 The American Psychological Association defines Psychology as the study of the mind and behavior. The discipline embraces all aspects of the human experience
Department: PSYC. Course No.: 132. Credits: 3. Title: General Psychology I. Contact: David B. Miller. Content Area: CA 3 Science and Technology
Department: PSYC Course No.: 132 Credits: 3 Title: General Psychology I. Contact: David B. Miller Content Area: CA 3 Science and Technology Catalog Copy: 132. General Psychology I Course Information: (a)
Overview of Methodology. Human Electrophysiology. Computing and Displaying Difference Waves. Plotting The Averaged ERP
Human Electrophysiology Overview of Methodology This Week: 1. Displaying ERPs 2. Defining ERP components Analog Filtering Amplification Montage Selection Analog-Digital Conversion Signal-to-Noise Enhancement
DRAFT TJ PROGRAM OF STUDIES: AP PSYCHOLOGY
DRAFT TJ PROGRAM OF STUDIES: AP PSYCHOLOGY COURSE DESCRIPTION AP Psychology engages students in a rigorous appraisal of many facets of our current understanding of psychology. The course is based on the
I. Introduction: What Is Memory? Memory refers to the mental processes that enable us to retain and use information over time. Memory involves three
I. Introduction: What Is Memory? Memory refers to the mental processes that enable us to retain and use information over time. Memory involves three fundamental processes: 1. Encoding is the process of
Department of Psychology
Colorado State University 1 Department of Psychology Office in Behavioral Sciences Building, Room 201 (970) 491-3799 colostate.edu/depts/psychology (http://www.colostate.edu/depts/ Psychology) Professor
Joseph K. Torgesen, Department of Psychology, Florida State University
EMPIRICAL AND THEORETICAL SUPPORT FOR DIRECT DIAGNOSIS OF LEARNING DISABILITIES BY ASSESSMENT OF INTRINSIC PROCESSING WEAKNESSES Author Joseph K. Torgesen, Department of Psychology, Florida State University
Sample Size and Power in Clinical Trials
Sample Size and Power in Clinical Trials Version 1.0 May 011 1. Power of a Test. Factors affecting Power 3. Required Sample Size RELATED ISSUES 1. Effect Size. Test Statistics 3. Variation 4. Significance
Principles of Learning for Traumatic Brain Injury Rehabilitation Mitchell Rosenthal Webinar Brain Injury Association of America June 7, 2011
Principles of Learning for Traumatic Brain Injury Rehabilitation Mitchell Rosenthal Webinar Brain Injury Association of America June 7, 2011 Tessa Hart, PhD Moss Rehabilitation Research Institute, Elkins
WMS III to WMS IV: Rationale for Change
Pearson Clinical Assessment 19500 Bulverde Rd San Antonio, TX, 28759 Telephone: 800 627 7271 www.pearsonassessments.com WMS III to WMS IV: Rationale for Change Since the publication of the Wechsler Memory
Post Traumatic Stress Disorder & Substance Misuse
Post Traumatic Stress Disorder & Substance Misuse Produced and Presented by Dr Derek Lee Consultant Chartered Clinical Psychologist Famous Sufferers. Samuel Pepys following the Great Fire of London:..much
The Development of Infant Memory
80 VOLUME 8, NUMBER 3, JUNE 1999 The Development of Infant Memory Carolyn Rovee-Collier 1 Department of Psychology, Rutgers The State University of New Jersey, Piscataway, New Jersey Abstract Over the
ERP indices of lab-learned phonotactics
ERP indices of lab-learned phonotactics Claire Moore-Cantwell, Joe Pater, Robert Staubs, Benjamin Zobel and Lisa Sanders RUMMIT UMass Amherst, April 6th 2013 Introduction: learning phonology in the lab
Chapter 2 Conceptualizing Scientific Inquiry
Chapter 2 Conceptualizing Scientific Inquiry 2.1 Introduction In order to develop a strategy for the assessment of scientific inquiry in a laboratory setting, a theoretical construct of the components
Exercise. Rule #1 Exercise boosts brain power.
Exercise Rule #1 Exercise boosts brain power. Our brains were built for walking 12 miles a day! To improve your thinking skills, move. Exercise gets blood to your brain, bringing it glucose for energy
Psychology (PSYC) Department of Psychology Faculty of Arts and Social Sciences
Psychology (PSYC) Department of Psychology Faculty of Arts and Social Sciences PSYC 1001 [0.5 credit] Introduction to Psychology I A survey of topics associated with psychology's role as a natural science,
www.projectlearnet.org WHAT IS COGNITIVE INTERVENTION/REHABILITATION?
Tutorial: Cognitive Intervention/Rehabilitation (See Tutorials on Cognition; Transfer/Generalization; Instructional Routines; Attention; Memory and Memory Problems; Organization; Problem Solving; Concrete
Behavior Rating Inventory of Executive Function - Adult Version BRIEF-A. Interpretive Report. Developed by
Behavior Rating Inventory of Executive Function - Adult Version BRIEF-A Interpretive Report Developed by Peter K. Isquith, PhD, Robert M. Roth, PhD, Gerard A. Gioia, PhD, and PAR Staff Client Information
AP Psychology Course Syllabus 2014-15
AP Psychology Course Syllabus 2014-15 Instructor: Rev. Gregory Bork Title: AP Psychology Grade Level: 11-12 Course Length: 2 semesters Credit: 1 credit Prerequisites: none Description: A college-level
The Planning and Execution Assistant and Trainer (PEAT) The challenge of impaired executive functions
The Journal of Head Trauma Rehabilitation, April 1997 The Planning and Execution Assistant and Trainer (PEAT) Richard Levinson, Attention Control Systems, Inc. Introduction Meet PEAT, the Planning and
Stabilization by Conceptual Duplication in Adaptive Resonance Theory
Stabilization by Conceptual Duplication in Adaptive Resonance Theory Louis Massey Royal Military College of Canada Department of Mathematics and Computer Science PO Box 17000 Station Forces Kingston, Ontario,
Dagmar (Dasa) Zeithamova-Demircan, Ph.D.
Dagmar (Dasa) Zeithamova-Demircan, Ph.D. Department of Psychology University of Oregon Eugene OR 97403-1227 Phone: (541) 346-6731 [email protected] EDUCATION 8/2008 Ph.D. Neuroscience University of Texas
How are Parts of the Brain Related to Brain Function?
How are Parts of the Brain Related to Brain Function? Scientists have found That the basic anatomical components of brain function are related to brain size and shape. The brain is composed of two hemispheres.
A Study in Learning Styles of Construction Management Students. Amit Bandyopadhyay, Ph.D., PE, F.ASCE State University of New York -FSC
A Study in Learning Styles of Construction Management Students Amit Bandyopadhyay, Ph.D., PE, F.ASCE State University of New York -FSC Abstract Students take in and process information in different ways.
Neurobiology of Depression in Relation to ECT. PJ Cowen Department of Psychiatry, University of Oxford
Neurobiology of Depression in Relation to ECT PJ Cowen Department of Psychiatry, University of Oxford Causes of Depression Genetic Childhood experience Life Events (particularly losses) Life Difficulties
ACADEMIC DIRECTOR: Carla Marquez-Lewis Email Contact: THE PROGRAM Career and Advanced Study Prospects Program Requirements
Psychology (BA) ACADEMIC DIRECTOR: Carla Marquez-Lewis CUNY School of Professional Studies 101 West 31 st Street, 7 th Floor New York, NY 10001 Email Contact: Carla Marquez-Lewis, [email protected]
by Maria Heiden, Berenberg Bank
Dynamic hedging of equity price risk with an equity protect overlay: reduce losses and exploit opportunities by Maria Heiden, Berenberg Bank As part of the distortions on the international stock markets
Memory, Behaviour, Emotional and Personality Changes after a Brain Injury
Memory, Behaviour, Emotional and Personality Changes after a Brain Injury The consequences of a brain injury on any individual, family or relationship are far reaching. A brain injury not only impacts
EEG COHERENCE AND PHASE DELAYS: COMPARISONS BETWEEN SINGLE REFERENCE, AVERAGE REFERENCE AND CURRENT SOURCE DENSITY
Version 1, June 13, 2004 Rough Draft form We apologize while we prepare the manuscript for publication but the data are valid and the conclusions are fundamental EEG COHERENCE AND PHASE DELAYS: COMPARISONS
JOINT ATTENTION. Kaplan and Hafner (2006) Florian Niefind Coli, Universität des Saarlandes SS 2010
JOINT ATTENTION Kaplan and Hafner (2006) Florian Niefind Coli, Universität des Saarlandes SS 2010 1 1 1.Outline 2.Joint attention - an informal approximation 3.Motivation of the paper 4.Formalization of
Semantic interpretations and metaphors of memory in the art
Hungarian University of Fine Art Doctoral School Semantic interpretations and metaphors of memory in the art Theses of a DLA dissertation By Sándor Antik Budapest, 2008 Consultant: Miklós Peternák PhD,
Functions of the Brain
Objectives 0 Participants will be able to identify 4 characteristics of a healthy brain. 0 Participants will be able to state the functions of the brain. 0 Participants will be able to identify 3 types
Independence of Visual Awareness from the Scope of Attention: an Electrophysiological Study
Cerebral Cortex March 2006;16:415-424 doi:10.1093/cercor/bhi121 Advance Access publication June 15, 2005 Independence of Visual Awareness from the Scope of Attention: an Electrophysiological Study Mika
