Literature DB >> 10407045

Synaptic control of spiking in cerebellar Purkinje cells: dynamic current clamp based on model conductances.

D Jaeger1, J M Bower.   

Abstract

Previous simulations using a realistic model of a cerebellar Purkinje cell suggested that synaptic control of somatic spiking in this cell type is mediated by voltage-gated intrinsic conductances and that inhibitory rather than excitatory synaptic inputs are more influential in controlling spike timing. In this paper, we have tested these predictions physiologically using dynamic current clamping to apply model-derived synaptic conductances to Purkinje cells in vitro. As predicted by the model, this input transformed the in vitro pattern of spiking into a different spike pattern typically observed in vivo. A net inhibitory synaptic current was required to achieve such spiking, indicating the presence of strong intrinsic depolarizing currents. Spike-triggered averaging confirmed that the length of individual intervals between spikes was correlated to the amplitude of the inhibitory conductance but was not influenced by excitatory inputs. Through repeated presentation of identical stimuli, we determined that the output spike rate was very sensitive to the relative balance of excitation and inhibition in the input conductances. In contrast, the accuracy of spike timing was dependent on input amplitude and was independent of spike rate. Thus, information could be encoded in Purkinje cell spiking in a precise spike time code and a rate code at the same time. We conclude that Purkinje cell responses to synaptic input are strongly dependent on active somatic and dendritic properties and that theories of cerebellar function likely need to incorporate single-cell dynamics to a greater degree than is customary.

Mesh:

Year:  1999        PMID: 10407045      PMCID: PMC6783079     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  39 in total

1.  Branching dendritic trees and motoneuron membrane resistivity.

Authors:  W RALL
Journal:  Exp Neurol       Date:  1959-11       Impact factor: 5.330

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Review 3.  Control of sensory data acquisition.

Authors:  J M Bower
Journal:  Int Rev Neurobiol       Date:  1997       Impact factor: 3.230

4.  The variable discharge of cortical neurons: implications for connectivity, computation, and information coding.

Authors:  M N Shadlen; W T Newsome
Journal:  J Neurosci       Date:  1998-05-15       Impact factor: 6.167

Review 5.  Is the cerebellum sensory for motor's sake, or motor for sensory's sake: the view from the whiskers of a rat?

Authors:  J M Bower
Journal:  Prog Brain Res       Date:  1997       Impact factor: 2.453

6.  Quantitative study of granule and Purkinje cells in the cerebellar cortex of the rat.

Authors:  R J Harvey; R M Napper
Journal:  J Comp Neurol       Date:  1988-08-08       Impact factor: 3.215

Review 7.  The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs.

Authors:  W R Softky; C Koch
Journal:  J Neurosci       Date:  1993-01       Impact factor: 6.167

8.  Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons.

Authors:  H P Robinson; N Kawai
Journal:  J Neurosci Methods       Date:  1993-09       Impact factor: 2.390

9.  An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses.

Authors:  E De Schutter; J M Bower
Journal:  J Neurophysiol       Date:  1994-01       Impact factor: 2.714

10.  Physiology, morphology and detailed passive models of guinea-pig cerebellar Purkinje cells.

Authors:  M Rapp; I Segev; Y Yarom
Journal:  J Physiol       Date:  1994-01-01       Impact factor: 5.182

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  43 in total

1.  The control of rate and timing of spikes in the deep cerebellar nuclei by inhibition.

Authors:  V Gauck; D Jaeger
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

2.  Postsynaptic variability of firing in rat cortical neurons: the roles of input synchronization and synaptic NMDA receptor conductance.

Authors:  A Harsch; H P Robinson
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

3.  Somatic and dendritic small-conductance calcium-activated potassium channels regulate the output of cerebellar Purkinje neurons.

Authors:  Mary D Womack; Kamran Khodakhah
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

4.  No parallel fiber volleys in the cerebellar cortex: evidence from cross-correlation analysis between Purkinje cells in a computer model and in recordings from anesthetized rats.

Authors:  Dieter Jaeger
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

5.  The contribution of NMDA and AMPA conductances to the control of spiking in neurons of the deep cerebellar nuclei.

Authors:  Volker Gauck; Dieter Jaeger
Journal:  J Neurosci       Date:  2003-09-03       Impact factor: 6.167

6.  Modulatory effects of parallel fiber and molecular layer interneuron synaptic activity on purkinje cell responses to ascending segment input: a modeling study.

Authors:  F Santamaria; D Jaeger; E De Schutter; J M Bower
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

7.  Synaptic shunting by a baseline of synaptic conductances modulates responses to inhibitory input volleys in cerebellar Purkinje cells.

Authors:  Lisa Kreiner; Dieter Jaeger
Journal:  Cerebellum       Date:  2004       Impact factor: 3.847

8.  Dendritic signals command firing dynamics in a mathematical model of cerebellar Purkinje cells.

Authors:  Stéphane Genet; Loïc Sabarly; Emmanuel Guigon; Hugues Berry; Bruno Delord
Journal:  Biophys J       Date:  2010-07-21       Impact factor: 4.033

9.  Dendritic spikes mediate negative synaptic gain control in cerebellar Purkinje cells.

Authors:  Ede A Rancz; Michael Häusser
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-03       Impact factor: 11.205

10.  Cerebellar Purkinje cells control eye movements with a rapid rate code that is invariant to spike irregularity.

Authors:  Hannah L Payne; Ranran L French; Christine C Guo; Td Barbara Nguyen-Vu; Tiina Manninen; Jennifer L Raymond
Journal:  Elife       Date:  2019-05-03       Impact factor: 8.140

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