Electrical Coupling and Excitatory Synaptic Transmission between Rhythmogenic Respiratory Neurons in the PreBötzinger Complex
|
|
|
- Emery McKinney
- 10 years ago
- Views:
Transcription
1 The Journal of Neuroscience, 2000, Vol. 20 RC113 1of5 Electrical Coupling and Excitatory Synaptic Transmission between Rhythmogenic Respiratory Neurons in the PreBötzinger Complex Jens C. Rekling, Xuesi M. Shao, and Jack L. Feldman Department of Neurobiology, University of California, Los Angeles, Los Angeles, California Breathing pattern is postulated to be generated by brainstem neurons. However, determination of the underlying cellular mechanisms, and in particular the synaptic interactions between respiratory neurons, has been difficult. Here we used dual recordings from two distinct populations of brainstem respiratory neurons, hypoglossal (XII) motoneurons, and rhythmogenic (type-1) neurons in the prebötzinger complex (pre- BötC), the hypothesized site for respiratory rhythm generation, to determine whether electrical and chemical transmission is present. Using an in vitro brainstem slice preparation from newborn mice, we found that intracellularly recorded pairs of XII motoneurons and pairs of prebötc inspiratory type-1 neurons showed bidirectional electrical coupling. Coupling strength was low ( 0.10), and the current that passed between two neurons was heavily filtered (corner frequency, 10 Hz). Dual recordings also demonstrated unidirectional excitatory chemical transmission (EPSPs of 3 mv) between type-1 neurons. These data indicate that respiratory motor output from the brainstem involves gap junction-mediated current transfer between motoneurons. Furthermore, bidirectional electrical coupling and unidirectional excitatory chemical transmission are present between type-1 neurons in the prebötc and may be important for generation or modulation of breathing rhythm. Key words: respiration; prebötzinger complex; type-1 neurons; respiratory rhythmogenesis; electrical coupling; excitatory transmission; newborn mice Received May 30, 2000; revised Sept. 6, 2000; accepted Sept. 11, This work was supported by National Institutes of Health Grants NS24742 and HL J.C.R. was supported by the Parker B. Francis Foundation. Correspondence should be addressed to Dr. Jack L. Feldman, Department of Neurobiology, Box , University of California, Los Angeles, Los Angeles, CA [email protected]. Dr. Rekling s present address: H. Lundbeck A/S, Ottiliavej 9, 2500 Valby, Denmark. Copyright 2000 Society for Neuroscience /00/ $15.00/0 Understanding the synaptic interactions among brainstem neurons is a prerequisite to understanding how breathing rhythm is generated and cranial respiratory motor output patterns are formed. We used an in vitro brainstem slice preparation from newborn mice (Smith et al., 1991; Rekling et al., 1996a) that retains the central network for respiratory rhythm generation to study synaptic transmission between neurons involved in generation of respiratory rhythm and motor output. The XII nucleus, containing respiratory-modulated XII motoneurons, and the pre- Bötzinger complex (prebötc), containing rhythmogenic neurons (Rekling et al., 1996a; Rekling and Feldman, 1998; Gray et al., 1999), are encompassed within this slice, which spontaneously generates a respiratory-related rhythmic motor output in XII nerve rootlets. Two types of inspiratory neurons showing rhythmic discharges in phase with XII nerve activity are found in the prebötc (type-1 and type-2) (Rekling et al., 1996a; Rekling and Feldman, 1997). We have proposed that type-1 neurons are key neurons for rhythmogenesis because they are the first neurons to be active before the onset of inspiration, have intrinsic membrane properties including a long-lasting afterhyperpolarization that are rhythmogenic, and are the main targets in the prebötc for peptidergic input regulating respiratory frequency (Rekling et al., 1996a,b; Rekling and Feldman, 1998; Gray et al., 1999). In the group-pacemaker hypothesis (Rekling and Feldman, 1998), recurrent excitatory synaptic interactions between type-1 neurons underlie their rhythmogenic potential. In this study, we undertook a series of dual recordings to determine whether direct recurrent synaptic interactions exist between type-1 neurons. Chemical synaptic transmission is the dominant form of cell cell signaling in the nervous system, whereas electrical coupling between neurons has been viewed as a less important form of signaling, mainly used in phylogenetically older organisms. This view has been challenged by recent experiments suggesting that electrical coupling is involved in complex functions in mammalian CNS (Welsh et al., 1995; Draguhn et al., 1998; Bennett, 1999; Usher et al., 1999; Tresch and Kiehn, 2000). Given the importance of gap junctions in rhythmic brain activity (Velazquez and Carlen, 2000), the current experiments were designed so both chemical and electrical synaptic interactions between rhythmically active respiratory neurons could be detected. MATERIALS AND METHODS Neonate (days 1 3) BALB/c mice were deeply anesthetized by hypothermia and killed, and a 400- to 600- m-thick transverse slice of the brainstem was cut on a vibratome (Smith et al., 1991). The preparation was transferred to a 0.2 ml recording chamber and was superfused (3 ml/min) with preheated (28.0 C) oxygenated (95% O 2 5%CO 2, ph 7.4) artificial CSF (acsf). The acsf solution contained (in mm): 130 NaCl, 5.4 KCl, 0.8 KH 2 PO 4, 26 NaHCO 3, 30 glucose, 1 MgCl 2, and 0.8 CaCl 2. This article is published in The Journal of Neuroscience, Rapid Communications Section, which publishes brief, peerreviewed papers online, not in print. Rapid Communications are posted online approximately one month earlier than they would appear if printed. They are listed in the Table of Contents of the next open issue of JNeurosci. Cite this article as: JNeurosci, 2000, 20:RC113 (1 5). The publication date is the date of posting online at
2 2of5 J. Neurosci., 2000, Vol. 20 Rekling et al. Electrical Coupling between Respiratory Neurons in prebötc A suction electrode placed on an XII nerve root recorded rhythmic respiratory-related motor output. Nerve activity was amplified and bandpass filtered at 3 Hz to 1 khz by an amplifier. A HumBug (Quest Scientific, North Vancouver, Canada) eliminated 60 Hz noise, and rectified nerve activity was integrated (RC circuit, time constant of 50 msec). Glass micropipettes (resistances typically 2 3 M ) were filled with a solution containing (in mm): 115 HMeSO 3, 115 KOH, 5 NaCl, 1 MgCl 2, 0.01 CaCl 2, 0.1 BAPTA, 10 HEPES, and 3 2-ATP(Mg 2 ), ph 7.3. Neurons were visualized using differential interference contrast and infrared video microscopy, and simultaneous whole-cell patch-clamp recordings (current-clamp mode) from pairs of XII motoneurons and type-1 neurons in the prebötc were done using two Axoclamp-2A (Axon Instruments, Foster City, CA) amplifiers. XII motoneurons were identified by their distinct anatomical location, and type-1 neurons were identified by their location in the prebötc and their characteristic electroresponsive properties (Rekling et al., 1996a; Gray et al., 1999). Signals were recorded on videocassette (pulse code modulation; Vetter Instruments), digitized at 1 20 khz using a Digidata 1200 analog-to-digital board (Axon Instruments), and analyzed on a personal computer using Clampex 7 software (Axon Instruments). The coupling coefficient between two electrically coupled neurons was calculated as the ratio of membrane potential deflections ( V 2 / V 1 ) in response to a 200 pa, 1 sec hyperpolarizing pulse. Prejunctional and postjunctional potential shapes were determined by spike-triggered averaging of 50 prejunctional action potentials elicited by 200 pa, 1 sec depolarizing pulses. Action potential duration was measured at the inflection point of the spike upstroke. A small, fast ( 0.2 mv, 3 msec) biphasic spike artifact was noted also in dual intracellular-to-extracellular recordings between uncoupled XII motoneurons (n 3) (see Fig. 3B) and probably reflect cross-talk between the two Axoclamp-2A head stages. The ZAP current input with a constant amplitude and a linearly decreasing (or increasing) frequency (Puil et al., 1986) was generated digitally from the equation: I(x) 2 sin(400 * x 2 ), for x 1 to 0 in 4096 steps. At 1 khz digitizing frequency, this gave a waveform with frequency range of 0 to 30 Hz. Voltage and current traces were transformed into the frequency domain using a Fast Fourier Transform (FFT) (rectangular window method). The results were smoothed (10 point adjacent averaging), and impedance-magnitude plots were generated by plotting normalized FFT(V)/FFT(I) versus frequency. Corner frequency of these plot were defined as attenuation to 3 db 1/ 2 of lowest frequency response (boundary frequencies were inherently noisy, and the first 1 Hz of the range was ignored). There was no difference in FFT plots comparing injections of ZAP functions with decreasing or increasing frequencies in the time domain. FFT analysis on burst of inspiratory EPSPs were done on smoothed traces (100 point adjacent averaging, 10 khz sampling rate), and peak and baseline values were determined from the resulting amplitude plots. EPSP amplitude, rise time (10 90%), decay time constant (single exponential fit), and synaptic delay (from peak of presynaptic spike to onset of postsynaptic EPSP) in pairs of type-1 neurons showing chemical transmission were measured on averaged traces ( 5 sweep, discarding failures) at a hyperpolarized postsynaptic membrane potential. In paired recordings, the term cell 1 refers to the neuron receiving a current injection (electrically coupled pair) or the presynaptic neuron (chemical transmission). TTX (1 M; Sigma, St. Louis, MO) and CdSO 4 (100 M; Sigma) was applied to the bath in some experiments. Statistics are given as mean SD, unless otherwise stated. RESULTS We made simultaneous whole-cell patch-clamp recordings from pairs of XII motoneurons and from pairs of type-1 neurons in the prebötc. Electrical coupling between inspiratory-modulated XII motoneurons Evidence for bidirectional electrical coupling was seen in 9 of 36 (25%) dual recordings from inspiratory-modulated XII motoneurons, i.e., the neurons had bursts of EPSPs in phase with activity on the XII nerve (Fig. 1D). The distance between pipette tips in recorded coupled XII motoneuron pairs was 50 8 m (range, m; n 9); this compares with a maximum motoneuron diameter of 19 3 m (range, m; n 20). After blockade of action potential and Ca 2 -dependent synaptic transmission Figure 1. Respiratory-modulated XII motoneurons are electrically coupled. A, Simultaneous recordings from two XII motoneurons. A ZAP current waveform injected into cell 1 elicited an attenuated and filtered response in the electrically coupled cell 2 (1 M TTX and 100 M Cd 2 were added to the bathing solution). B, Impedance magnitude versus frequency plot of one neuron pair based on FFT analysis of the membrane responses to the ZAP current input in cell 1 and cell 2. The corner frequency ( 3 db) of cell 1 was 17 Hz, whereas cell 2 was 9 Hz. C, Superposition of an action potential in cell 1 that produced a distorted waveform in cell 2. D, Plot of the frequency components contained in a burst of inspiratory EPSPs (V m, inset) in an XII motoneuron. (by adding TTX and Cd 2 to the superfusing solution), hyperpolarizing or depolarizing current injections into one motoneuron gave rise to attenuated membrane responses in an electrically coupled motoneuron (data not shown); the coupling coefficient ranged between and (n 4 pairs). We then injected a ZAP current waveform into either of the motoneurons (Fig. 1A), and an attenuated waveform in the postjunctional motoneuron with low-pass filter characteristics was produced (Fig. 1A). Prejunctional motoneurons filtered the ZAP current input with a corner frequency ( 3 db) of 19 5 Hz, whereas postjunctional motoneurons filtered the transferred current with a lower corner frequency of 7 4Hz(n 4) (Fig. 1B). The envelope of the inspiratory burst of EPSPs in XII motoneurons was composed mainly of frequencies 5 Hz and below, with a peak at Hz (n 11) (Fig. 1D). This marked frequency-dependent attenuation of signals traveling between electrically coupled motoneurons gave rise to severely distorted action potential waveforms in postjunctional motoneurons (Fig. 1C). The duration of the prejunctional action potentials was msec, and the postjunctional potential was longer lasting at msec. Electrical coupling between rhythmogenic type-1 neurons Three of 23 pairs (13%) of type-1 neurons were bidirectionally electrically coupled (Fig. 2A). The coupling coefficient ranged between and 0.11 (n 3 pairs). The maximal somatic diameter of type-1 neurons was m (range, m; n 10), and the distance between pipette tips in type-1 pairs that were electrotonically coupled was 52 and 66 m (n 2, one pair
3 Rekling et al. Electrical Coupling between Respiratory Neurons in prebötc J. Neurosci., 2000, Vol. 20 3of5 Figure 2. Type-1 neurons are bidirectionally electrically coupled. A, Simultaneous recordings from two type-1 neurons (spikes are truncated). A hyperpolarizing pulse in either neuron elicited an attenuated hyperpolarizing responses in the other electrically coupled neuron. B, ZAP current injection into cell 1 elicited an attenuated and filtered response in the coupled cell 2. C, Train of prejunctional action potentials in cell 1 and corresponding temporally summated (dotted line) postjunctional coupling potential waveforms in a coupled cell 2. D, Soma-dendritic dual recording from a type-1 neuron, with spikelets in the dendritic, but not in the somatic, recording. E, Current injection into the dendrite increases the frequency of spikelets. not measured). Prejunctional type-1 neurons filtered a ZAP current input with a corner frequency of Hz, whereas postjunctional neurons filtered the transferred current with a lower corner frequency of 9 5Hz(n 3 pairs) (Fig. 2B). The envelope of the inspiratory burst of EPSPs in type-1 neurons was composed mainly of frequencies below 7 Hz, with a peak at Hz (n 3). The duration of prejunctional action potentials was msec, and the postjunctional potentials were longer lasting ( msec; n 3 pairs). Postjunctional coupling potential waveforms resembled small-amplitude EPSPs (without any measurable synaptic delay) and displayed temporal summation (Fig. 2C). The somas of coupled type-1 neurons did not touch each other. Thus, gap junctions linking pairs of type-1 neurons appear dendro-dendritic or dendro-somatic. Direct support for this notion comes from one accidental soma-dendritic dual recording (40 m between pipettes) from a single type-1 neuron. Spikelets (3 mv amplitude, action potential shape) presumably generated in a second electrical coupled inspiratory neuron were seen in the dendritic, but not in the somatic, recording (Fig. 2D). Steady hyperpolarizing current or depolarizing pulses injected into the dendrite reduced or increased the frequency of the spikelets, respectively (Fig. 2D, E), suggesting that the injected current passed through dendritic gap junctions, changing the membrane potential and firing frequency of the coupled neuron. Figure 3. Type-1 neurons show unidirectional excitatory chemical transmission to other type-1 neurons. A, Simultaneous recordings from two type-1 neurons, one with no injected current (top trace) and the other at a hyperpolarized membrane potential ( 72 pa bias current). Transient depolarizing current injection into cell 1 elicited repetitive firing in that cell and trains of EPSPs in cell 2. B, Presynaptic action potential (top trace) and postsynaptic EPSP waveforms (bottom trace). Note that the small potential preceding the EPSP is likely head stage-to-head stage cross-talk (see Materials and Methods). C, Current pulse to cell 1 elicited repetitive firing and EPSPs with intermittent synaptic transmission failures in cell 2. Nonrhythmogenic type-2 neurons are the second type of inspiratory neurons found in the prebötc (Rekling et al., 1996a). Although no electrical (or chemical) coupling was found between type-1 and type-2 neurons (n 9 pairs), we cannot exclude its existence. Pharmacological blockade of gap junctions is inconclusive We bath applied or local perfused over the prebötc four different gap junction blockers (heptanol, 1 mm; octanol, 1 mm; carbenoxolone, 100 M; and halothane, 10 mm), which all reversibly suppressed the rhythmic output on the XII nerve. However, all of these compounds had substantial adverse effects on the membrane excitability of both XII motoneurons and type-1 neurons. Before and after applying these drugs, we current clamped a neuron at 60 mv, applied a series of current pulses (500 msec; 110 to 170 pa; 20 pa increments), and measured the number of action potentials when the current pulse depolarized the neuron to approximately 50 mv. Heptanol greatly reduced the number of action potentials in XII motoneurons without changing input resistance (control, spikes/500 msec; heptanol, 1 1 spikes/500 msec; n 2). Carbenoxolone suppressed
4 4of5 J. Neurosci., 2000, Vol. 20 Rekling et al. Electrical Coupling between Respiratory Neurons in prebötc and finally eliminated respiratory-related output after min. Input resistance of type-1 prebötc neurons (n 4) was reduced from to M at min in carbenoxolone containing acsf and further reduced to M at 45 min. Carbenoxolone also reduced the number of action potentials elicited by depolarizing current pulses from to spikes/500 msec at min and further reduced firing to 0 at 45 min. (at which point, action potentials could not be generated by further depolarizing the neuron). These effects of heptanol and carbenoxolone were partially reversible after washout with fresh acsf. Excitatory chemical transmission between type-1 neurons Three of 23 pairs (13%) of type-1 neurons were chemically synaptically coupled (Fig. 3A), showing unidirectional EPSPs, i.e., synaptic potentials in only one direction. The EPSPs had a synaptic delay of msec, amplitude of mv, rise time of msec, and decay time constant of msec (n 3) (Fig. 3B). Synaptic transmission was not 100% efficient, because there were some failures (Fig. 3C). We did not measure the probability of failures, because we were unable to obtain sufficiently long-term recordings for such analysis. None of the pairs of chemically coupled type-1 neurons showed evidence of electrical coupling. DISCUSSION This study demonstrates that electrical coupling is present between respiratory-modulated XII motoneurons and that both electrical and excitatory chemical transmission is present between type-1 neurons. Electrical coupling between respiratory-modulated XII motoneurons is consistent with the observation that genioglossal motoneurons show dye-coupling (Mazza et al., 1992). Inspiratory-modulated motoneurons in nucleus ambiguus (Rekling and Feldman, 1997) also show electrical coupling. Electrical coupling among perinatal rat phrenic motoneurons might be involved in synchronizing respiratory drive to the diaphragm (Martin- Caraballo and Greer, 1999). Electrical coupling between spinal motoneurons (Walton and Navarrete, 1991) underlies action potential-independent coordination of spinal motor rhythms (Tresch and Kiehn, 2000), and similar coordination of brainstem respiratory motoneurons may facilitate coordination of upper airway motor patterns. Electrical coupling between rhythmogenic type-1 neurons is likely to affect respiratory rhythm generation because, in computational models of interacting neurons, electrical coupling is rhythm promoting (Sherman and Rinzel, 1992; Traub, 1995; Moortgat et al., 2000). Respiratory rhythm generation may also involve action potential-independent oscillations mediated by gap junctions, because oscillations in the absence of action potentials are present in spinal motor systems (Tresch and Kiehn, 2000). Bidirectional electrical coupling between type-1 neurons could act, in concert with intrinsic conductances, to synchronize and amplify oscillatory respiratory activity at slow time scales. Interference with breathing rhythm after pharmacological blockade of gap junctions would support such a role for electrical coupling in respiratory rhythmogenesis. All of these compounds had substantial adverse effects on the membrane excitability of both XII motoneurons and type-1 neurons. Thus, direct evidence for a possible role of gap junctions in respiratory rhythm generation awaits development of gap junction blockers that do not otherwise affect neuronal excitability. We cannot exclude the possibility that electrical coupling is present between type-1 neurons only in newborn mice, but the neuron-specific connexin 36 (Cx36) (Condorelli et al., 1998) is seen in the prebötc in adult mice (Parenti et al., 2000), and Cx26 and Cx32 are seen in presumptive type-1 neurons in adult rats (O Neal et al., 2000). This suggests that gap junctions persist in this region in adult rodents. Models of electrical coupling predict that coupling strength can affect the frequency of oscillatory networks (Kepler et al., 1990; Moortgat et al., 2000). Thus, if electrical coupling between type-1 neurons is modifiable, e.g., via phosphorylation of connexins, breathing frequency could be modulated by the regulation of coupling strength. The results of dual recordings provide us a basis to estimate the number of directly connected neurons (see Appendix). We have estimated that there are up to 300 type-1 neurons in each pre- BötC; these neurons have dense intermingled dendrites (P. A. Gray and J. L. Feldman, unpublished observations). Given the compact size of the prebötc (Gray et al., 1999), especially compared with the dendritic lengths of type-1 neurons ( 1.5 mm), we assume that the likelihood of coupling is not distant-dependent. Thus, if there are 100 neurons, given that we found 3 of 23 pairs of type-1 neurons showing electrical couplings, every type-1 neuron would be connected to 13 other type-1 neurons (Eq. 1 in Appendix). This estimate (1 f 13) is between the estimate of dye coupling using Lucifer yellow (Connors et al., 1983) and the estimate using Neurobiotin in rat neocortical neurons (Peinado et al., 1993; Rörig et al., 1995). If there are as many as 300 type-1 neurons, then the estimate is 1 f 39 connections. There was strong filtering of signals traveling between electrically coupled pairs of XII motoneurons and of type-1 neurons, which was minimal at frequencies with the most power in the inspiratory synaptic drive ( 5 Hz). We propose that this coupling synchronizes their membrane potential at frequencies corresponding to the envelope of the inspiratory EPSP burst. Furthermore, we hypothesize that regenerative membrane currents (somatic action potentials, dendritic Ca 2 currents) elicited by the inspiratory synaptic drive pass through gap junctions, adding a low-pass filtered current to the inspiratory synaptic drive in the coupled neurons. In this manner, electrical coupling amplifies and synchronizes type-1 neuron depolarization, predicted to underlie respiratory rhythm generation, as well as the respiratory motor output from XII motoneurons. Excitatory chemical transmission between type-1 neurons is in agreement with recent experiments showing synchronization, mediated by glutamatergic synaptic interactions, between endogenous bursting neurons in the prebötc (Koshiya and Smith, 1999). Type-1 neurons may be identical to or overlap as a group with these neurons, which show intrinsic oscillatory bursting properties under elevated extracellular potassium concentrations (Smith et al., 1991; Koshiya and Smith, 1999), because 50% of type-1 neurons have bursting properties (Rekling et al., 1996a). In our small sample of dual recordings, we found that chemically coupled pairs of type-1 neurons were not electrically coupled (and visa versa), which suggests that an exclusive electrical chemical network rule is implemented in synaptic connections between type-1 neurons. In keeping with the group-pacemaker hypothesis (Rekling and Feldman, 1998), excitatory chemical transmission may be the driving force for generation of the inspiratory burst in type-1 neurons, whereas electrical coupling
5 Rekling et al. Electrical Coupling between Respiratory Neurons in prebötc J. Neurosci., 2000, Vol. 20 5of5 may phase-lock the membrane potential during both inspiration and expiration in these rhythmogenic neurons. Appendix Estimation of number of connected neurons based on dual recordings Suppose we have N neurons, and their interconnections are homogenous. There are W N(N 1)/2 pairs of neurons. If we do n dual recordings and get b pairs of coupled neurons, the estimated rate of coupling is ˆ b/n. The estimated total number of pairwise couplings among N neurons would be W * ˆ. Because each connection is shared by two neurons, every neuron is connected (on average) to m other neurons, where m W* ˆ *2/N. By substitution, N N 1 ˆ m 2 N 2 N 1 ˆ (1) Equation 1 can be derived in another way. If every neuron is connected to other m neurons and if we patch onto one neuron, the probability of a second electrode patching onto a connected neuron would be m/(n 1). The SD of the estimate ˆ is given by (Rice, 1988) SD ˆ ˆ 1 ˆ n 1 REFERENCES Bennett MVL (2000) Seeing is relieving: electrical synapses between visualized neurons. Nat Neurosci 3:7 9. Condorelli D, Parenti R, Spinella F, Salinaro A, Belluardo N, Cardile V, Cicirata F (1998) Cloning of a new gap junction gene (Cx36) highly expressed in mammalian brain neurons. Eur J Neurosci 10: Connors BW, Benardo LS, Prince DA (1983) Coupling between neurons of the developing rat neocortex. J Neurosci 3: Draguhn A, Traub RD, Schmitz D, Jefferys JG (1998) Electrical coupling underlies high-frequency oscillations in the hippocampus in vitro. Nature 394: Gray PA, Rekling JC, Bocchiaro CM, Feldman JL (1999) Modulation of respiratory frequency by peptidergic input to rhythmogenic neurons in the prebötzinger complex. Science 286: Kepler TB, Marder E, Abbott LF (1990) The effect of electrical coupling on the frequency of model neuronal oscillators. Science 248: Koshiya N, Smith JC (1999) Neuronal pacemaker for breathing visualized in vitro. Nature 400: Martin-Caraballo M, Greer JJ (1999) Electrophysiological properties of rat phrenic motoneurons during perinatal development. J Neurophysiol 81: (2) Mazza E, Nunez AP, Spielmann J, Cameron W (1992) Anatomical and electrotonic coupling in developing genioglossal motoneurons of the rat. Brain Res 598: Moortgat KT, Bullock TH, Sejnowski TJ (2000) Gap junction effects on precision and frequency of a model pacemaker network. J Neurophysiol 83: O Neal MH, Halat TJ, Edelman NH, Solomon IC (2000) Co-expression of gap junction proteins with -opioid and substance p receptors in the pre-bötzinger complex of neonatal and adult rats. Soc Neurosci Abstr 26:927. Parenti R, Gulisano M, Zappala A, Cicirata F (2000) Expression of connexin36 mrna in adult rodent brain. NeuroReport 11: Peinado A, Yuste R, Katz LC (1993) Extensive dye coupling between rat neocortical neurons during the period of circuit formation. Neuron 10: Puil E, Gimbarzevsky B, Miura RM (1986) Quantification of membrane properties of trigeminal root ganglion neurons in guinea pigs. J Neurophysiol 55: Rekling JC, Feldman JL (1997) Bidirectional electrical coupling between inspiratory motoneurons in the newborn mouse nucleus ambiguus. J Neurophysiol 78: Rekling JC, Feldman JL (1998) PreBötzinger complex and pacemaker neurons: hypothesized site and kernel for respiratory rhythm generation. Annu Rev Physiol 60: Rekling JC, Champagnat J, Denavit-Saubié M (1996a) Electroresponsive properties and membrane potential trajectories of three types of inspiratory neurons in the newborn mouse brain stem in vitro. J Neurophysiol 75: Rekling JC, Champagnat J, Denavit-Saubié M (1996b) Thyrotropinreleasing hormone (TRH) depolarizes a subset of inspiratory neurons in the newborn mouse brain stem in vitro. J Neurophysiol 75: Rice JA (1988) Survey sampling. In: Mathematical statistics and data analysis, pp Belmont, CA: Wadsworth. Rörig B, Klausa G, Sutor B (1995) Dye coupling between pyramidal neurons in developing rat prefrontal and frontal cortex is reduced by protein kinase A activation and dopamine. J Neurosci 15: Sherman A, Rinzel J (1992) Rhythmogenic effects of weak electrotonic coupling in neuronal models. Proc Natl Acad Sci USA 89: Smith JC, Ellenberger HH, Ballanyi K, Richter DW, Feldman JL (1991) Pre-Bötzinger complex: a brainstem region that may generate respiratory rhythm in mammals. Science 254: Traub RD (1995) Model of synchronized population bursts in electrically coupled interneurons containing active dendritic conductances. J Comput Neurosci 2: Tresch MC, Kiehn O (2000) Motor coordination without action potentials in the mammalian spinal cord. Nat Neurosci 3: Usher M, Cohen JD, Servan-Schreiber D, Rajkowski J, Aston-Jones G (1999) The role of locus coeruleus in the regulation of cognitive performance. Science 283: Velazquez JLP, Carlen PL (2000) Gap junctions, synchrony and seizures. Trends Neurosci 23: Walton K, Navarrete R (1991) Postnatal changes in motoneurone electrotonic coupling studied in the in vitro rat lumbar spinal cord. J Physiol (Lond) 433: Welsh JP, Lang EJ, Suglhara I, Llinás R (1995) Dynamic organization of motor control within the olivocerebellar system. Nature 374:
Bi 360: Midterm Review
Bi 360: Midterm Review Basic Neurobiology 1) Many axons are surrounded by a fatty insulating sheath called myelin, which is interrupted at regular intervals at the Nodes of Ranvier, where the action potential
Neurophysiology. 2.1 Equilibrium Potential
2 Neurophysiology 2.1 Equilibrium Potential An understanding of the concepts of electrical and chemical forces that act on ions, electrochemical equilibrium, and equilibrium potential is a powerful tool
Synaptic depression creates a switch that controls the frequency of an oscillatory circuit
Proc. Natl. Acad. Sci. USA Vol. 96, pp. 8206 8211, July 1999 Neurobiology Synaptic depression creates a switch that controls the frequency of an oscillatory circuit FARZAN NADIM*, YAIR MANOR, NANCY KOPELL,
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,
The Neuron and the Synapse. The Neuron. Parts of the Neuron. Functions of the neuron:
The Neuron and the Synapse The Neuron Functions of the neuron: Transmit information from one point in the body to another. Process the information in various ways (that is, compute). The neuron has a specialized
Electrophysiological Recording Techniques
Electrophysiological Recording Techniques Wen-Jun Gao, PH.D. Drexel University College of Medicine Goal of Physiological Recording To detect the communication signals between neurons in real time (μs to
Name: Teacher: Olsen Hour:
Name: Teacher: Olsen Hour: The Nervous System: Part 1 Textbook p216-225 41 In all exercises, quizzes and tests in this class, always answer in your own words. That is the only way that you can show that
CHAPTER 6 PRINCIPLES OF NEURAL CIRCUITS.
CHAPTER 6 PRINCIPLES OF NEURAL CIRCUITS. 6.1. CONNECTIONS AMONG NEURONS Neurons are interconnected with one another to form circuits, much as electronic components are wired together to form a functional
Resting membrane potential ~ -70mV - Membrane is polarized
Resting membrane potential ~ -70mV - Membrane is polarized (ie) Electrical charge on the outside of the membrane is positive while the electrical charge on the inside of the membrane is negative Changes
Brain Computer Interfaces (BCI) Communication Training of brain activity
Brain Computer Interfaces (BCI) Communication Training of brain activity Brain Computer Interfaces (BCI) picture rights: Gerwin Schalk, Wadsworth Center, NY Components of a Brain Computer Interface Applications
Chapter 7: The Nervous System
Chapter 7: The Nervous System Objectives Discuss the general organization of the nervous system Describe the structure & function of a nerve Draw and label the pathways involved in a withdraw reflex Define
Neural Mechanisms of Motor Program Switching in Aplysia
The Journal of Neuroscience, September 15, 2001, 21(18):7349 7362 Neural Mechanisms of Motor Program Switching in Aplysia Jian Jing and Klaudiusz R. Weiss Department of Physiology and Biophysics, Mount
Computational Neuroscience. Models of Synaptic Transmission and Plasticity. Prof. Dr. Michele GIUGLIANO 2036FBDBMW
Computational Neuroscience 2036FBDBMW Master of Science in Computer Science (Scientific Computing) Master of Science in Biomedical Sciences (Neurosciences) Master of Science in Physics Prof. Dr. Michele
DENDRITIC INTEGRATION OF EXCITATORY SYNAPTIC INPUT
DENDRITIC INTEGRATION OF EXCITATORY SYNAPTIC INPUT Jeffrey C. Magee A fundamental function of nerve cells is the transformation of incoming synaptic information into specific patterns of action potential
Action Potentials I Generation. Reading: BCP Chapter 4
Action Potentials I Generation Reading: BCP Chapter 4 Action Potentials Action potentials (AP s) aka Spikes (because of how they look in an electrical recording of Vm over time). Discharges (descriptive
PART I: Neurons and the Nerve Impulse
PART I: Neurons and the Nerve Impulse Identify each of the labeled structures of the neuron below. A. B. C. D. E. F. G. Identify each of the labeled structures of the neuron below. A. dendrites B. nucleus
How To Understand The Distributed Potential Of A Dendritic Tree
Systems Biology II: Neural Systems (580.422) Lecture 8, Linear cable theory Eric Young 5-3164 [email protected] Reading: D. Johnston and S.M. Wu Foundations of Cellular Neurophysiology (MIT Press, 1995).
Activity 5: The Action Potential: Measuring Its Absolute and Relative Refractory Periods. 250 20 Yes. 125 20 Yes. 60 20 No. 60 25 No.
3: Neurophysiology of Nerve Impulses (Part 2) Activity 5: The Action Potential: Measuring Its Absolute and Relative Refractory Periods Interval between stimuli Stimulus voltage (mv) Second action potential?
Frequency-Dependent PSP Depression Contributes to Low-Pass Temporal Filtering in Eigenmannia
The Journal of Neuroscience, September 1, 1999, 19(17):7629 7639 Frequency-Dependent PSP Depression Contributes to Low-Pass Temporal Filtering in Eigenmannia Gary J. Rose and Eric S. Fortune 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
BIOPHYSICS OF NERVE CELLS & NETWORKS
UNIVERSITY OF LONDON MSci EXAMINATION May 2007 for Internal Students of Imperial College of Science, Technology and Medicine This paper is also taken for the relevant Examination for the Associateship
CHAPTER 5 SIGNALLING IN NEURONS
5.1. SYNAPTIC TRANSMISSION CHAPTER 5 SIGNALLING IN NEURONS One of the main functions of neurons is to communicate with other neurons. An individual neuron may receive information from many different sources.
Parts of the Nerve Cell and Their Functions
Parts of the Nerve Cell and Their Functions Silvia Helena Cardoso, PhD [ 1. Cell body] [2. Neuronal membrane] [3. Dendrites] [4. Axon] [5. Nerve ending] 1. Cell body The cell body (soma) is the factory
Fast Rhythmic Bursting Can Be Induced in Layer 2/3 Cortical Neurons by Enhancing Persistent Na Conductance or by Blocking BK Channels
J Neurophysiol 89: 909 921, 2003; 10.1152/jn.00573.2002. Fast Rhythmic Bursting Can Be Induced in Layer 2/3 Cortical Neurons by Enhancing Persistent Na Conductance or by Blocking BK Channels ROGER D. TRAUB,
Origin of Electrical Membrane Potential
Origin of Electrical Membrane Potential parti This book is about the physiological characteristics of nerve and muscle cells. As we shall see, the ability of these cells to generate and conduct electricity
Passive Conduction - Cable Theory
Passive Conduction - Cable Theory October 7, 2013 Biological Structure Theoretical models describing propagation of synaptic potentials have evolved significantly over the past century. Synaptic potentials
Slide 1: Introduction Introduce the purpose of your presentation. Indicate that you will explain how the brain basically works and how and where
Slide 1: Introduction Introduce the purpose of your presentation. Indicate that you will explain how the brain basically works and how and where drugs such as heroin and cocaine work in the brain. Tell
The mhr model is described by 30 ordinary differential equations (ODEs): one. ion concentrations and 23 equations describing channel gating.
On-line Supplement: Computer Modeling Chris Clausen, PhD and Ira S. Cohen, MD, PhD Computer models of canine ventricular action potentials The mhr model is described by 30 ordinary differential equations
ANIMATED NEUROSCIENCE
ANIMATED NEUROSCIENCE and the Action of Nicotine, Cocaine, and Marijuana in the Brain Te a c h e r s G u i d e Films for the Humanities & Sciences Background Information This program, made entirely of
Harmonics and Noise in Photovoltaic (PV) Inverter and the Mitigation Strategies
Soonwook Hong, Ph. D. Michael Zuercher Martinson Harmonics and Noise in Photovoltaic (PV) Inverter and the Mitigation Strategies 1. Introduction PV inverters use semiconductor devices to transform the
Introduction to Psychology, 7th Edition, Rod Plotnik Module 3: Brain s Building Blocks. Module 3. Brain s Building Blocks
Module 3 Brain s Building Blocks Structure of the Brain Genes chains of chemicals that are arranged like rungs on a twisting ladder there are about 100,000 genes that contain chemical instructions that
Electrical Coupling between Interneurons with Different Excitable Properties in the Stratum Lacunosum-Moleculare of the Juvenile CA1 Rat Hippocampus
8686 The Journal of Neuroscience, September 21, 2005 25(38):8686 8695 Behavioral/Systems/Cognitive Electrical Coupling between Interneurons with Different Excitable Properties in the Stratum Lacunosum-Moleculare
Andrew Rosen - Chapter 3: The Brain and Nervous System Intro:
Intro: Brain is made up of numerous, complex parts Frontal lobes by forehead are the brain s executive center Parietal lobes wave sensory information together (maps feeling on body) Temporal lobes interpret
Bursts as a unit of neural information: selective communication via resonance
Trends in Neuroscience, (uncut version with 2 extra boxes) March, 2003. Bursts as a unit of neural information: selective communication via resonance Eugene M. Izhikevich 1, Niraj S. Desai 1, Elisabeth
Current Probes, More Useful Than You Think
Current Probes, More Useful Than You Think Training and design help in most areas of Electrical Engineering Copyright 1998 Institute of Electrical and Electronics Engineers. Reprinted from the IEEE 1998
Anatomy Review Graphics are used with permission of: adam.com (http://www.adam.com/) Benjamin Cummings Publishing Co (http://www.awl.com/bc).
Page 1. Introduction The structure of neurons reflects their function. One part of the cell receives incoming signals. Another part generates outgoing signals. Anatomy Review Graphics are used with permission
Neurotrophic factors and Their receptors
Neurotrophic factors and Their receptors Huang Shu-Hong Institute of neurobiology 1 For decades, scientists believed that brain cells of the central nervous system could not regrow following damage due
AP Biology I. Nervous System Notes
AP Biology I. Nervous System Notes 1. General information: passage of information occurs in two ways: Nerves - process and send information fast (eg. stepping on a tack) Hormones - process and send information
12. Nervous System: Nervous Tissue
12. Nervous System: Nervous Tissue I. Introduction to the Nervous System General functions of the nervous system The nervous system has three basic functions: 1. Gather sensory input from the environment
DIODE CIRCUITS LABORATORY. Fig. 8.1a Fig 8.1b
DIODE CIRCUITS LABORATORY A solid state diode consists of a junction of either dissimilar semiconductors (pn junction diode) or a metal and a semiconductor (Schottky barrier diode). Regardless of the type,
Neuro imaging: looking with lasers in the brain
Neuro imaging: looking with lasers in the brain Aim: To image life cells, label free, with cellular resolution in deep tissue Marloes Groot Vrije Universiteit Amsterdam Faculteit Exacte Wetenschappen Natuurkunde
Agilent AN 1316 Optimizing Spectrum Analyzer Amplitude Accuracy
Agilent AN 1316 Optimizing Spectrum Analyzer Amplitude Accuracy Application Note RF & Microwave Spectrum Analyzers Table of Contents 3 3 4 4 5 7 8 8 13 13 14 16 16 Introduction Absolute versus relative
ANALYZER BASICS WHAT IS AN FFT SPECTRUM ANALYZER? 2-1
WHAT IS AN FFT SPECTRUM ANALYZER? ANALYZER BASICS The SR760 FFT Spectrum Analyzer takes a time varying input signal, like you would see on an oscilloscope trace, and computes its frequency spectrum. Fourier's
www.jameco.com 1-800-831-4242
Distributed by: www.jameco.com 1-800-831-4242 The content and copyrights of the attached material are the property of its owner. LF411 Low Offset, Low Drift JFET Input Operational Amplifier General Description
Making Accurate Voltage Noise and Current Noise Measurements on Operational Amplifiers Down to 0.1Hz
Author: Don LaFontaine Making Accurate Voltage Noise and Current Noise Measurements on Operational Amplifiers Down to 0.1Hz Abstract Making accurate voltage and current noise measurements on op amps in
SUMMARY. Additional Digital/Software filters are included in Chart and filter the data after it has been sampled and recorded by the PowerLab.
This technique note was compiled by ADInstruments Pty Ltd. It includes figures and tables from S.S. Young (2001): Computerized data acquisition and analysis for the life sciences. For further information
http://abcnews.go.com/politics/video/obama-says-brain-initiative-will-be-transformative-18861944
http://abcnews.go.com/politics/video/obama-says-brain-initiative-will-be-transformative-18861944 What are the nervous system s functions? The nervous system organizes and controls an individual s appropriate
Jeff Thomas Tom Holmes Terri Hightower. Learn RF Spectrum Analysis Basics
Jeff Thomas Tom Holmes Terri Hightower Learn RF Spectrum Analysis Basics Learning Objectives Name the major measurement strengths of a swept-tuned spectrum analyzer Explain the importance of frequency
Biological Neurons and Neural Networks, Artificial Neurons
Biological Neurons and Neural Networks, Artificial Neurons Neural Computation : Lecture 2 John A. Bullinaria, 2015 1. Organization of the Nervous System and Brain 2. Brains versus Computers: Some Numbers
QUANTAL ANALYSIS AT THE NEUROMUSCULAR JUNCTION
Hons Neuroscience Professor R.R. Ribchester QUANTAL ANALYSIS AT THE NEUROMUSCULAR JUNCTION Our present understanding of the fundamental physiological mechanism of transmitter release at synapses is mainly
Anatomy Review. Graphics are used with permission of: Pearson Education Inc., publishing as Benjamin Cummings (http://www.aw-bc.
Anatomy Review Graphics are used with permission of: Pearson Education Inc., publishing as Benjamin Cummings (http://www.aw-bc.com) Page 1. Introduction The structure of neurons reflects their function.
Timing Errors and Jitter
Timing Errors and Jitter Background Mike Story In a sampled (digital) system, samples have to be accurate in level and time. The digital system uses the two bits of information the signal was this big
Brain Slice Preparation In Electrophysiology
Brain Slice Preparation In Electrophysiology Avital Schurr, Ph.D. Department of Anesthesiology, University of Louisville School of Medicine, Louisville, Kentucky 40292 Avital Schurr is currently an Associate
Standards Alignment Minnesota Science Standards Alignment Matrix www.brainu.org/resources/mnstds
Lesson Summary: Neurons transfer information by releasing neurotransmitters across the synapse or space between neurons. Students model the chemical communication between pre-synaptic and post-synaptic
The Membrane Equation
The Membrane Equation Professor David Heeger September 5, 2000 RC Circuits Figure 1A shows an RC (resistor, capacitor) equivalent circuit model for a patch of passive neural membrane. The capacitor represents
Synaptophysin Regulates the Kinetics of Synaptic Vesicle Endocytosis in Central Neurons
Neuron, Volume 70 Supplemental Information Synaptophysin Regulates the Kinetics of Synaptic Vesicle Endocytosis in Central Neurons Sung E. Kwon and Edwin R. Chapman Supplemental Figure Legends Figure
Neural Coding by Two Classes of Principal Cells in the Mouse Piriform Cortex
11938 The Journal of Neuroscience, November 15, 2006 26(46):11938 11947 Cellular/Molecular Neural Coding by Two Classes of Principal Cells in the Mouse Piriform Cortex Norimitsu Suzuki and John M. Bekkers
Nerves and Conduction of Nerve Impulses
A. Introduction 1. Innovation in Cnidaria - Nerve net a. We need to talk more about nerves b. Cnidaria have simple nerve net - 2 way conduction c. Basis for more complex system in Vertebrates B. Vertebrate
Doppler. Doppler. Doppler shift. Doppler Frequency. Doppler shift. Doppler shift. Chapter 19
Doppler Doppler Chapter 19 A moving train with a trumpet player holding the same tone for a very long time travels from your left to your right. The tone changes relative the motion of you (receiver) and
Auditory neuroanatomy: the Spanish heritage. Santiago Ramón y Cajal, 1852 1934
Auditory neuroanatomy: the Spanish heritage Santiago Ramón y Cajal, 1852 1934 Rafael Lorente de Nó, 1902 1990 3 The nervous system is made up of cells. Estimates of the number of cells vary from
Lab #6: Neurophysiology Simulation
Lab #6: Neurophysiology Simulation Background Neurons (Fig 6.1) are cells in the nervous system that are used conduct signals at high speed from one part of the body to another. This enables rapid, precise
Questions on The Nervous System and Gas Exchange
Name: Questions on The Nervous System and Gas Exchange Directions: The following questions are taken from previous IB Final Papers on Topics 6.4 (Gas Exchange) and 6.5 (Nerves, hormones and homeostasis).
Brain & Mind. Bicester Community College Science Department
B6 Brain & Mind B6 Key Questions How do animals respond to changes in their environment? How is information passed through the nervous system? What can we learn through conditioning? How do humans develop
Programmable Single-/Dual-/Triple- Tone Gong SAE 800
Programmable Single-/Dual-/Triple- Tone Gong Preliminary Data SAE 800 Bipolar IC Features Supply voltage range 2.8 V to 18 V Few external components (no electrolytic capacitor) 1 tone, 2 tones, 3 tones
Local Generation of Fast Ripples in Epileptic Brain
The Journal of Neuroscience, March 1, 2002, 22(5):2012 2021 Local Generation of Fast Ripples in Epileptic Brain Anatol Bragin, 1,3 Istvan Mody, 1,3 Charles L. Wilson, 1,3 and Jerome Engel Jr 1,2,3 Departments
Problem Sets: Questions and Answers
BI 360: Neurobiology Fall 2014 Problem Sets: Questions and Answers These problems are provided to aid in your understanding of basic neurobiological concepts and to guide your focus for in-depth study.
LABORATORY 10 TIME AVERAGES, RMS VALUES AND THE BRIDGE RECTIFIER. Bridge Rectifier
LABORATORY 10 TIME AVERAGES, RMS VALUES AND THE BRIDGE RECTIFIER Full-wave Rectification: Bridge Rectifier For many electronic circuits, DC supply voltages are required but only AC voltages are available.
EXCITABILITY & ACTION POTENTIALS page 1
page 1 INTRODUCTION A. Excitable Tissue: able to generate Action Potentials (APs) (e.g. neurons, muscle cells) B. Neurons (nerve cells) a. components 1) soma (cell body): metabolic center (vital, always
life&brain Electrophysiology Services
life&brain Electrophysiology Services Life & Brain GmbH Electrophysiology Services NEUROPLASTICITY LIFE & BRAIN Gmbh Sigmund-Freud-Str. 25 53127 Bonn Tel.: 49-228-6885 215 Fax.: 49-228-6885 296 E-mail:
Pyramidal neurons: dendritic structure and synaptic integration
Pyramidal neurons: dendritic structure and synaptic integration Nelson Spruston Abstract Pyramidal neurons are characterized by their distinct apical and basal dendritic trees and the pyramidal shape of
DDX 7000 & 8003. Digital Partial Discharge Detectors FEATURES APPLICATIONS
DDX 7000 & 8003 Digital Partial Discharge Detectors The HAEFELY HIPOTRONICS DDX Digital Partial Discharge Detector offers the high accuracy and flexibility of digital technology, plus the real-time display
Appendix 4 Simulation software for neuronal network models
Appendix 4 Simulation software for neuronal network models D.1 Introduction This Appendix describes the Matlab software that has been made available with Cerebral Cortex: Principles of Operation (Rolls
What is the basic component of the brain and spinal cord communication system?
EXPLORING PSYCHOLOGY David Myers The Biology of Mind Chapter 2 Neural Communication Neurons How Neurons Communicate How Neurotransmitters Influence Us The Nervous System The Peripheral Nervous System The
Physiological Basis of the BOLD Signal. Kerstin Preuschoff Social and Neural systems Lab University of Zurich
Physiological Basis of the BOLD Signal Kerstin Preuschoff Social and Neural systems Lab University of Zurich Source: Arthurs & Boniface, 2002 From Stimulus to Bold Overview Physics of BOLD signal - Magnetic
TDA2040. 20W Hi-Fi AUDIO POWER AMPLIFIER
20W Hi-Fi AUDIO POWER AMPLIFIER DESCRIPTION The TDA2040 is a monolithic integrated circuit in Pentawatt package, intended for use as an audio class AB amplifier. Typically it provides 22W output power
Nodus 3.1. Manual. with Nodus 3.2 Appendix. Neuron and network simulation software for Macintosh computers
Nodus 3.1 Manual with Nodus 3.2 Appendix Neuron and network simulation software for Macintosh computers Copyright Erik De Schutter, 1995 Copyright This manual and the Nodus software described in it are
Slide 4: Forebrain Structures. Slide 5: 4 Lobes of the Cerebral Cortex. Slide 6: The Cerebral Hemispheres (L & R)
Slide 1: [Film Clip: The Brain #2- Phineas Gage] Integrated Bodily Communications Within Brain (Hemispheres and structures) The remaining Nervous System Endocrine System (Hormonal communication) Our bodies-
Neuroscience Program and INFM Unit, International School for Advanced Studies, Via Beirut 2-4, 34014 Trieste, Italy b
Neuropharmacology 39 (2000) 2288 2301 www.elsevier.com/locate/neuropharm Postsynaptic hyperpolarization increases the strength of AMPAmediated synaptic transmission at large synapses between mossy fibers
Cable and Compartmental Models of Dendritic Trees
Cable and Compartmental Models of Dendritic Trees IDAN SEGEV 5.1 Introduction In the previous chapter, we used a single compartment model to study the mechanisms for the activation of voltage-activated
How To Understand The Effects Of Drugs On The Brain
DRUGS AND THE BRAIN Most of the psychological and behavioural effects of psychoactive drugs is due the interaction they have with the nerve cells in the CNS (which includes the brain and peripheral nervous
AN-837 APPLICATION NOTE
APPLICATION NOTE One Technology Way P.O. Box 916 Norwood, MA 262-916, U.S.A. Tel: 781.329.47 Fax: 781.461.3113 www.analog.com DDS-Based Clock Jitter Performance vs. DAC Reconstruction Filter Performance
REVIEW SHEET EXERCISE 3 Neurophysiology of Nerve Impulses Name Lab Time/Date. The Resting Membrane Potential
REVIEW SHEET EXERCISE 3 Neurophysiology of Nerve Impulses Name Lab Time/Date ACTIVITY 1 The Resting Membrane Potential 1. Explain why increasing extracellular K + reduces the net diffusion of K + out of
Reflex Physiology. Dr. Ali Ebneshahidi. 2009 Ebneshahidi
Reflex Physiology Dr. Ali Ebneshahidi Reflex Physiology Reflexes are automatic, subconscious response to changes within or outside the body. a. Reflexes maintain homeostasis (autonomic reflexes) heart
3. The neuron has many branch-like extensions called that receive input from other neurons. a. glia b. dendrites c. axons d.
Chapter Test 1. A cell that receives information and transmits it to other cells via an electrochemical process is called a(n) a. neuron b. hormone c. glia d. endorphin Answer: A difficulty: 1 factual
Nervous System: Spinal Cord and Spinal Nerves (Chapter 13) Lecture Materials for Amy Warenda Czura, Ph.D. Suffolk County Community College
Nervous System: Spinal Cord and Spinal Nerves (Chapter 13) Lecture Materials for Amy Warenda Czura, Ph.D. Suffolk County Community College Primary Sources for figures and content: Eastern Campus Marieb,
Homework Assignment 03
Question 1 (2 points each unless noted otherwise) Homework Assignment 03 1. A 9-V dc power supply generates 10 W in a resistor. What peak-to-peak amplitude should an ac source have to generate the same
TEA1024/ TEA1124. Zero Voltage Switch with Fixed Ramp. Description. Features. Block Diagram
Zero Voltage Switch with Fixed Ramp TEA04/ TEA4 Description The monolithic integrated bipolar circuit, TEA04/ TEA4 is a zero voltage switch for triac control in domestic equipments. It offers not only
ε: Voltage output of Signal Generator (also called the Source voltage or Applied
Experiment #10: LR & RC Circuits Frequency Response EQUIPMENT NEEDED Science Workshop Interface Power Amplifier (2) Voltage Sensor graph paper (optional) (3) Patch Cords Decade resistor, capacitor, and
SERIES-PARALLEL DC CIRCUITS
Name: Date: Course and Section: Instructor: EXPERIMENT 1 SERIES-PARALLEL DC CIRCUITS OBJECTIVES 1. Test the theoretical analysis of series-parallel networks through direct measurements. 2. Improve skills
Propagation Channel Emulator ECP_V3
Navigation simulators Propagation Channel Emulator ECP_V3 1 Product Description The ECP (Propagation Channel Emulator V3) synthesizes the principal phenomena of propagation occurring on RF signal links
