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The Journal of Neuroscience, August 27, 2003, 23(21):7750-7758
Previous Article | Next Article
Submillisecond Precision of the Input-Output Transformation Function Mediated by Fast Sodium Dendritic Spikes in Basal Dendrites of CA1 Pyramidal Neurons
Gal Ariav, Alon Polsky, andJackie Schiller Department of Physiology, Bruce Rappaport Faculty of Medicine, Technion, Haifa 31096, Israel
Abstract
Top
Abstract
Introduction
The ability of cortical neurons to perform temporally accurate computations has been shown to be important for encoding of information in the cortex; however, cortical neurons are expected to be imprecise temporal encoders because of the stochastic nature of synaptic transmission and ion channel gating, dendritic filtering, and background synaptic noise. Here we show for the first time that fast local spikes in basal dendrites can serve to improve the temporal precision of neuronal output. Integration of coactivated, spatially distributed synaptic inputs produces temporally imprecise output action potentials within a time window of several milliseconds. In contrast, integration of closely spaced basal inputs initiates local dendritic spikes that amplify and sharpen the summed somatic potential. In turn, these fast basal spikes allow precise timing of output action potentials with submillisecond temporal jitter over a wide range of activation intensities and background synaptic noise. Our findings indicate that fast spikes initiated in individual basal dendrites can serve as precise "timers" of output action potentials in various network activity states and thus may contribute to temporal coding in the cortex.
Key words: dendrites; submillisecond; temporal coding; spike; cortex; synaptic integration
Introduction
Although the manner by which information is encoded by cortical neurons is not known, there are two main theories that attempt to address this question. The rate code theory postulates that information is represented by the average firing rates of neurons, whereas the temporal code theory claims that information is conveyed by the precise timing of action potentials (Abeles, 1990; Bialek and Rieke, 1992
The ability of single neurons to process and convey temporally accurate information is determined by their ability to detect coincident synaptic activity on the one hand and reliably transform this incoming synaptic activity into a temporally accurate output pattern on the other hand. Accurate input coincidence detection at the axo-somatic region is limited by passive attenuation of high-frequency signals along the dendritic tree (Rall and Segev, 1987
Coincidence detection of input synaptic data is not sufficient for performing reliable temporal coding. Rather, input information must also be transformed into temporally precise output action potentials. The basic components of neurons, namely ionic channels and synapses, are relatively unreliable and behave stochastically, and the neuron is constantly bombarded by background synaptic activity. As a result, the process of action potential encoding is noisy, and repeated identical stimuli result in a jitter of action potential timing (Lecar and Nossal, 1971a
In the present study, we report that fast local spikes in basal dendrites can serve as efficient coincidence detectors of incoming synaptic information and as temporally stable and precise output action potential generators over a wide range of activation intensities and background noise.
Materials and Methods
Slice preparation and electrophysiological recording. Hippocampal brain slices 300-350 µm thick were prepared from 17- to 40-d-old Wistar rats. Whole-cell patch-clamp recordings were performed from visually identified CA1 pyramidal neurons using infrared-differential interference contrast optics. The extracellular solution contained (in mM): 125 NaCl, 25 NaHCO3, 25 glucose, 3 KCl, 1.25 NaH2PO4, 2 CaCl2, 1 MgCl2, pH 7.4, at 34-35°C. Bicuculline methiodide (1 µM) was added to the extracellular solution in most experiments. The intracellular solution contained (in mM): 115 K+-gluconate, 20 KCl, 2 Mg-ATP, 2 Na2-ATP, 10 Na2-phosphocreatine, 0.3 GTP, 10 HEPES, 0.15 Calcium Green-1 (CG-1), or 0.2 Oregon Green 488 Bapta-1 (OGB-1), pH 7.2. The electrophysiological recordings were performed using Multi-Clamp 700A (Axon Instruments, Foster City, CA), and the data were acquired and analyzed using PClamp 8.2 (Axon Instruments) and Igor (Wavemetrics, Lake Oswego, OR) software. The average values are presented as average ± SD, and statistical analysis was performed using the Student's t test.Focal synaptic stimulation and calcium fluorescence imaging. Focal synaptic stimulation was performed via a theta patch pipette located in close proximity to the selected basal dendritic segment guided by the fluorescent image of the dendrite (Schiller et al., 2000
Glutamate uncaging. For the uncaging experiments, caged glutamate (
-ANB-caged L-glutamic acid) (Molecular Probes, Eugene, OR) was photolyzed by a 361 nm UV-laser beam (Innova 300, Coherent, Palo Alto, CA) using 1 msec shuttered pulses (UniBlitz shutter driver/timer, Rochester, NY). After a stable whole-cell recording was established, the recording chamber was perfused with extracellular solution (bubbled with 95% O2/5% CO2) containing freshly prepared caged glutamate compound (1 mM). The full width at half-maximum size of the photolyzed spot was 6.5 ± 3 µm in brain slices, as measured by caged fluorescein dextran (dextran DMNB-caged fluorescein; Molecular Probes).
Computer simulations. Computer simulations were performed using the compartmental modeling package NEURON on a Pentium PC under Windows XP (Hines and Carnevale, 1997
/cm2, 150
Spines were accounted for by decreasing the Rm and increasing Cm by a factor of 2, starting 100 µm from the soma in the apical tree and 20 µm in the basal tree.
The parameters for the voltage-gated and synaptic conductances were on the basis of published experimental and modeling work (Destexhe et al., 1994
Results
To reveal the contribution of active dendritic conductances to the kinetics and amplitude of summed synaptic potentials, we activated inputs clustered onto a dendritic compartment, where interactions are expected to be maximal (Shepherd and Brayton, 1987
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Figure 1. Rise time sharpening and supralinear amplitude amplification of the summed synaptic potential after coincident activation of synaptic inputs innervating the same dendritic branch. a, Fluorescent image of a CA1 pyramidal neuron loaded with OGB-1 (200 µM) via the somatic patch electrode. Two bipolar theta synaptic stimulating electrodes were placed in close proximity to a basal dendrite. Scale bar, 40 µm. b, Traces showing the individual EPSPs evoked by each of the synaptic stimulating electrodes, the summed synaptic potential during coincident activation of the two synaptic stimulating electrodes, and the arithmetic sum of the two individual responses (bold line). Note the large supralinear amplification and sharpening of the summed synaptic potential, as compared with the expected arithmetic sum response. c, Voltage traces obtained in response to coincident activation of two closely spaced electrodes at various time delays (0-20 msec). Black traces represent voltage responses to activation of the electrodes at time delays of 0 and 2 msec. Gray traces show the responses for activation at time delays of 3, 5, 10, 15, and 20 msec. Note that, in this experiment, the time window for coincident detection was <3 msec.
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Figure 2. Synaptically evoked local spikes in basal dendrites of CA1 pyramidal neurons. a, Postsynaptic voltage responses were evoked by focal synaptic stimulation of a basal dendrite at increasing stimulus intensities. Note the sharp threshold of initiation of the local spike. b, Hyperpolarization of the membrane potential (from -64 to -80 mV) eliminated the fast and slow components of the spike. Two representative traces evoked by the same stimulus intensity (2 stimuli at 50 Hz) at a resting membrane potential of -64 and -80 mV (bold trace) are shown. c, The effect of the NMDA-receptor channel blocker APV (100 µM) on local dendritic spikes evoked by focal synaptic stimulation to a basal dendrite. Voltage traces in control conditions and after application of APV are shown for the same synaptic stimulus intensity (2 stimuli at 50 Hz). After significantly increasing the stimulus intensity (2-fold) in the presence of APV, local fast spikes could be reinitiated (APV-strong). Note that APV abolished the slow component of the spike. Consecutive addition of CNQX (10 µM) to the APV-containing bath solution eliminated altogether the voltage response (CNQX+APV). d, Top panel presents the peak amplitudes of the postsynaptic voltage responses plotted as a function of the synaptic stimulus intensities at resting membrane potential ( , -64 mV) and at hyperpolarized membrane potential (
, -80 mV). The data presented are from the same neuron as in a. Bottom panel shows the peak amplitudes of the postsynaptic responses plotted as a function of the synaptic stimulus intensities under control conditions (
F/F in percentage values. The calcium transients were measured from all regions of the dendritic basal branches shown, but for simplicity, only calcium transients in representative locations are shown. Note the marked decline in calcium transients along the activated basal branch, and the very small calcium transients evoked by local basal spikes in the mother and sister dendritic branches.
Comparison of the individual, small EPSPs evoked by each electrode with the summed EPSP evoked by coincident activation of both electrodes revealed that the summed EPSP was much faster than expected (Fig. 1b). The rise time of the individual small EPSPs could be fitted by a monoexponential function with an average time constant of 3.02 ± 1.19 msec (n = 25). In contrast, the rising phase of summed EPSPs showed a second fast regenerative component that could be fitted with a time constant of 0.31 ± 0.13 msec (Fig. 1b)(n = 22; p < 0.0001 as compared with the individual EPSPs).
Coincident activation of the two adjacent electrodes also resulted in supralinear amplification of the summed potential (Fig. 1b). The average peak amplitude of the summed potential was 1.87 ± 0.7 times larger than that of the arithmetic sum of the two individual EPSPs (n = 12). This result was even more pronounced for the area under the curve, which was 2.52 ± 1.09-fold larger than that expected from the arithmetic sum. Supralinear amplification was observed throughout the entire length of basal dendrites aside from the proximal 50 µm adjacent to the soma.
To determine the time window for coincidence detection of the incoming neighboring basal inputs, the individual EPSPs were activated with different time delays. Sharpening and supralinear amplification of the summed EPSP was highly dependent on the time interval between the two activated inputs. It occurred reliably when this interval was <3 msec and intermittently (25-50% of trials) at time intervals of 3-5 msec (n = 4) (Fig. 1c). When the time interval between the activated inputs was >5 msec, individual EPSPs summated linearly or sublinearly, and the regenerative response was absent. It should be noted that in our experimental conditions each EPSP is a sum of several synchronously activated inputs, and thus we probably overestimated the time window required for coincidence detection. Taken together these findings indicated that basal dendrites could serve as efficient coincident detectors of synaptic inputs innervating the same dendritic compartment, by both sharpening and amplifying the summed synaptic potentials as recorded at the soma.
The underlying mechanism responsible for sharpening and supralinear amplification of coincidently activated EPSPs innervating the same dendritic compartment was the initiation of local spikes in basal dendrites (Fig. 2a). These local basal spikes were observed both in the presence (n = 32) and absence (n = 6) of 1 µM extracellular bicuculline. Moreover, local spikes were recorded in three cases in which the recording pipette contained 150 µM EGTA instead of fluorescence calcium dyes. In contrast to local dendritic NMDA spikes described previously in basal dendrites of layer 5 neocortical pyramidal neurons (Schiller et al., 2000
Both the fast and slow components of local basal spikes were eliminated by 15-20 mV hyperpolarization of the somatic membrane potential (Fig. 2b) (n = 4) and bath application of the NMDA-receptor blocker APV (100 µM) (Fig. 2c) (n = 6). Moreover, both hyperpolarization and APV linearized the intensity response curves (Figs. 2d). In three of six experiments, fast basal spikes could be reinitiated in the presence of APV by further increasing the stimulus intensity (Fig. 2c). This spike was completely blocked by subsequent addition of 20 µM CNQX (Fig. 2c) (n = 3).
A previous study reported that fast spikelets in CA1 pyramidal neurons were mediated by direct axonal stimulation and axo-axonal gap junctions between adjacent CA1 neurons (Schmitz et al., 2001
We used calcium imaging experiments to define the extent of spread of local basal spikes (Fig. 2f). Concomitant calcium imaging revealed that basal dendritic spikes were associated with local calcium transients, which were mostly confined to the activated basal branch and extended only slightly beyond a branch point to the mother or sister branches (n = 5) (Wei et al., 2001
To investigate the ionic mechanisms underlying both components of local basal spikes, we used UV-laser-induced focal glutamate uncaging on basal dendrites of CA1 hippocampal pyramidal neurons. Focal glutamate uncaging initiated local basal spikes, which were also composed of early fast and late slow components (Fig. 3a). The relative size of the late slow component was larger than that recorded for synaptic stimulation. This was probably caused by two main factors. First, glutamate uncaging preferentially activated NMDA over AMPA receptors. In addition, clearance of the uncaged glutamate is slower than synaptically released glutamate (Schiller et al., 1998
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Figure 3. The ionic mechanism of the fast and slow components of local spikes in basal dendrites. A CA1 pyramidal neuron was filled with CG-1, and glutamate was uncaged via a UV laser at distal basal dendrites. a, Single traces of excitatory, postsynaptic-like potentials (EPSLPs) evoked by UV-laser-induced glutamate uncaging at increasing UV-laser intensities (left panel). The inset in the frame represents the net spike calculated by subtraction of the just subthreshold response from the just suprathreshold response. The peak EPSLP responses were plotted as a function of the laser intensity (right panel). b, Single traces of EPSLPs recorded under control conditions (black) and after the addition of TTX (1 µM) and cadmium (100 µM) (gray traces). The black and smaller gray traces were evoked by similar laser intensity (12 mW), whereas the larger gray trace was evoked by larger laser intensity (25 mW). Addition of TTX and cadmium blocked at first the fast and slow components of the local basal spikes; however, after further increasing the laser intensity (from 12 to 25 mW), reinitiation of the slow NMDA spike occurred in the presence of TTX and cadmium. c, Single traces of EPSLPs recorded under control conditions (black trace) and after the addition of the NMDA-receptor blocker APV (100 µM; gray trace).
We next investigated the impact of fast basal spikes on the temporal accuracy of the neuronal output. On repeated identical trials, initiation of axonal action potentials showed temporal variability. We compared this temporal variability under two experimental conditions: pairing of distributed apical EPSPs with either distributed basal EPSPs or local basal spikes (Fig. 4a) (for details, see Materials and Methods). After repeated trials (n = 20) in which distributed basal and apical EPSPs were paired to produce axonal action potentials with initiation reliability of 80%, the average time delay for initiation was 7.73 ± 1.90 msec, and the average jitter of action potential timing was 1.65 ± 1.02 msec (Fig. 4b,c) (n = 12 neurons; SD represents the variability in the different neurons). Temporal jitter was defined as the SD of the axonal action potential timing in repeated identical trials (Mainen and Sejnowski, 1995
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Figure 4. The effect of local fast basal spikes on the timing and temporal jitter of axonal action potentials. a, Single representative voltage traces of a basal EPSP (gray) and a local basal fast spike (black) that were coincidently activated with an apical EPSP. b, Single traces of 20 consecutive runs evoked by paired activation of a distributed apical EPSP with either a distributed basal EPSP (gray) or a local basal spike (black). The 20 consecutive stimulations were given every 20 sec. The stimulus intensity of the apical electrode was set to a level in which 10-20% of the trials failed to initiate action potentials. c, The timing of the axonal action potentials was monitored for each run and plotted in a time-delay histogram for the paired activation of distributed apical and basal EPSPs (gray) and distributed apical EPSPs with a local fast basal spike (black). The time delays were measured between the stimulation artifact and the peak of the action potential.
The average timing and temporal jitter of axonal action potentials evoked by pairing of distributed basal and apical EPSPs depended on the activation intensity. Increasing the activation intensity of the distributed apical EPSP (quantified by the initiation reliability of axonal action potentials) decreased the time delay and temporal jitter of axonal action potentials (Fig. 5). When action potential initiation reliability increased from 20 to 100%, the average initiation timing decreased from 8.81 ± 2.23 to 5.94 ± 1.3 msec, and the temporal jitter decreased from 1.83 ± 0.55 to 0.87 ± 0.34 msec (n = 6; p < 0.01). This reduction probably resulted from the fact that as the amplitude of summed somatic EPSP increased, it reached the axonal threshold earlier and with greater temporal reliability. In contrast, fast basal spikes produced a fundamentally different behavior. Both the timing and temporal jitter of the output axonal action potentials remained constant over a wide range of activation intensities. In the presence of local basal spikes, the average timing of axonal action potential at initiation reliability values of 20 and 100% were 5.0 ± 0.1 and 5.1 ± 0.1 msec, and the corresponding temporal jitters were 0.14 ± 0.02 and 0.12 ± 0.05 msec (n = 5) (Fig. 5). Moreover, in our experiments the temporal jitter obtained with fast basal spikes was always smaller than that obtained with distributed EPSPs, despite the fact that, in some cases, at high enough activation intensities the time delay of axonal action potentials was smaller for distributed EPSPs (Fig. 5b, left outermost points in top panel).
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Figure 5. The impact of the activation intensity on the jitter and timing of output axonal action potentials. a, Pairing of basal with apical EPSPs (top traces) was compared with pairing of fast basal spikes with apical EPSPs (bottom traces). Pairing was performed at different stimulation intensities of the apical inputs, yielding different reliability values of axonal action potential initiation (reliability was defined as the fraction of traces resulting in action potential initiation). Consecutive successful runs resulting in action potential initiation are presented for two reliability values (100% gray and 20% black). Traces that failed to initiate action potentials were omitted. Arrowheads indicate the average timing of axonal action potentials in the two stimulation intensities. b, Action potential timing (top panel) and jitter (bottom panel) are plotted as a function of action potential reliability. The jitter was measured by the SD of action potential timing in consecutive runs. Black dots represent pairing with fast basal spikes, and open circles represent pairing with basal EPSPs. Note that the timing and jitter of axonal action potentials in the case of the fast spike was independent of the activation intensity.
We next used computer simulations to examine the impact of fast basal spikes on the timing and precision of the neuronal output. In these simulations we compared the timing and temporal jitter of output action potentials in conditions in which the basal dendritic tree was either passive or active at different background synaptic noise. In this manner we were able to examine directly the impact of fast basal spikes on the temporal precision of output axonal action potentials. We constructed a detailed, realistic model of a CA1 pyramidal neuron in which we were able to reproduce the somatic appearance of action potentials, synaptic potentials, and fast basal spikes obtained in our experiments. The neuron was activated by 100-800 excitatory inputs distributed randomly in both the basal and apical trees paired with five inputs clustered spatially onto a single basal branch (Fig. 6a). The various inputs were activated within a 1 msec time window. The synaptic background activity noise in this model was produced by an additional 0-1500 inputs that were distributed randomly and activated arbitrarily along the apical tree with a frequency of 10 Hz. Each of these inputs could be either excitatory or inhibitory, with a probability of 0.7 and 0.3, respectively (Bernander et al., 1991
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Figure 6. The effect of local fast basal spikes on the temporal jitter of axonal action potentials: computer simulation data. a, A CA1 pyramidal neuron was reconstructed and the responses were simulated with the NEURON software. This panel shows the reconstructed neuron, 20 of 100-800 randomly distributed apical inputs (open circles), and the basal inputs that produced the fast spike (single open circle in basal region). The reconstructed neuron was kindly provided by Dr. Guy Major. b, Single representative voltage traces of a basal EPSP (gray, left panel) and a local basal fast spike (black, left panel) that were coincidently activated with an apical EPSP (right panel). c, Top panel, Consecutive activation of randomly distributed apical inputs paired with either randomly distributed basal inputs (gray) or a local basal spike (black) to produce a reliability value of 80% in action potential initiation. Bottom panel, A time-delay histogram is plotted for the paired activation of distributed apical and basal EPSPs (gray) and distributed apical EPSPs with a local fast basal spike (black). d, The action potential jitter is plotted as a function of action potential reliability values at different background synaptic noise in two conditions: paired activation of distributed apical and basal EPSPs (gray) and distributed apical EPSPs with a fast basal spike (black). To achieve different synaptic baseline noises, the number of arbitrarily activated synapses was changed (circles, 1500; squares, 1000; triangles, 0 synapses). Note the constant low jitter in the case of the fast basal spike activation.
Our computer simulation data confirmed the experimental findings. In contrast to the passive basal dendrites scenario in which the timing and temporal jitter of output action potentials were highly dependent on the number of activated synapses, in the neuron containing active basal dendrites, fast basal spikes preserved consistent and precise timing of output action potentials regardless of the number of coactivated distributed apical synapses (Fig. 6d).
In addition we examined in our simulations the effect of background synaptic noise on the output temporal precision with and without fast basal spikes. In the neuron with passive basal dendrites, increasing the background synaptic noise by increasing the number of arbitrarily activated apical inputs markedly impaired the precision of output action potentials (Fig. 6d). In contrast, fast basal spikes maintained submillisecond temporal jitter of output action potentials, despite the growing background synaptic noise (Fig. 6d). Hence, the effect of the fast spike on the jitter of axonal action potential timing is expected to be accentuated under in vivo conditions, in which the ongoing background synaptic activity is increased compared with the brain slice preparation (Bernander et al., 1991
Discussion
In this paper we describe fast local spikes in CA1 basal dendrites that can transform coincidently activated input information into temporally precise and stable output information over a wide range of activation intensities and background synaptic noise. In fact, this mechanism allows activated basal inputs to serve as accurate and stable "timers" determining the temporal pattern of the neuronal output. This cellular mechanism, together with additional network mechanisms (Marsalek et al., 1997Previous studies described local dendritic spikes in apical dendrites of neocortical and hippocampal pyramidal neurons and in basal dendrites of layer 5 pyramidal neurons (Hausser et al., 2000
Here we report that these local basal spikes markedly sharpen the rising phase of EPSPs, as recorded at the soma, and as a result, critically influence the precision and reliability of output axonal action potentials. In contrast to the fast spikes described here, apical calcium spikes and basal NMDA spikes are relatively slow events and hence are unlikely to sharpen the rising phase of EPSPs (Schiller et al., 1997
We show that coincidence detection is facilitated by fast spiking mechanisms in basal dendrites of CA1 pyramidal neurons. These findings are in contrast to previous studies by Cash and Yuste (1999
It should be noted that Williams and Stuart (2002
In this study we show experimentally for the first time an active dendritic mechanism that can markedly improve the temporal precision and stability of output axonal action potentials by contributing large fast voltage transients at the soma.
Large, rapid fluctuations in somatic voltage have been recognized in the past to contribute to precise axonal action potential initiation (Mainen and Sejnowski, 1995
The findings in this study show experimentally the feasibility of the third mechanism in CA1 neurons in vitro. Fast basal spikes are unique in their capability to preserve initiation of axonal action potentials within the same narrow submillisecond time window over a wide range of activation intensities and background synaptic noise. Although the temporal precision of axonal action potentials can be improved by activating a large number of distributed inputs synchronously (Fig. 5), the timing of action potentials is not constant and varies as a function of the number of activated inputs.
It is not clear whether fast local dendritic spikes occur in vivo and in what way they impact information processing in the hippocampus. Initiation of local spikes in vivo is expected to occur either if inputs carrying related information selectively innervate the same dendritic segments (Archie and Mel, 2000
Temporal coding is used by various brain regions (Richmond and Optican, 1987
Footnotes
Received Jan 13, 2003; revised June 27, 2003; accepted June 30, 2003.This work was supported by the German-Israeli Foundation, the Rapport Foundation, and the Minerva Foundation. We thank S. Marom, Y. Schiller, and G. Major for critically reading an earlier version of this manuscript.
Correspondence should be addressed to Dr. Jackie Schiller, Technion Medical School, Bat-Galim, Haifa 31096, Israel. E-mail: jackie{at}tx.technion.ac.il.
Copyright © 2003 Society for Neuroscience 0270-6474/03/237750-09$15.00/0
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