Literature DB >> 6279540

Role of the cortical neuron: integrator or coincidence detector?

M Abeles.   

Abstract

A model was constructed of the relations between the incoming excitatory postsynaptic potentials and inhibitory postsynaptic potentials to the intracellular membrane potential fluctuations and to the firing rate of a single neuron. From this model, the strength of synapses was assessed in two ways: 1) the ability of several synchronous presynaptic spikes to initiate a postsynaptic spike, termed the synchronous gain of the synapse; and 2) the ability of several asynchronous presynaptic spikes to add a spike to the output spike train, called the asynchronous gain. It was found that for the conditions prevailing in the brain's cortex, the synchronous gain is almost always higher. It appears that the cortical neurons act as coincidence detectors, and that the appropriate code for the higher cortical functions is coincidence and not firing rate.

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Mesh:

Year:  1982        PMID: 6279540

Source DB:  PubMed          Journal:  Isr J Med Sci        ISSN: 0021-2180


  85 in total

1.  Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  Interspike intervals, receptive fields, and information encoding in primary visual cortex.

Authors:  D S Reich; F Mechler; K P Purpura; J D Victor
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

3.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

4.  Impact of correlated synaptic input on output firing rate and variability in simple neuronal models.

Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

5.  Tuning neocortical pyramidal neurons between integrators and coincidence detectors.

Authors:  Michael Rudolph; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

Review 6.  Evidence concerning how neurons of the perirhinal cortex may effect familiarity discrimination.

Authors:  M W Brown; Z I Bashir
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

7.  Non-Euclidean properties of spike train metric spaces.

Authors:  Dmitriy Aronov; Jonathan D Victor
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-02

Review 8.  Spectral fingerprints of large-scale neuronal interactions.

Authors:  Markus Siegel; Tobias H Donner; Andreas K Engel
Journal:  Nat Rev Neurosci       Date:  2012-01-11       Impact factor: 34.870

9.  Precise spatiotemporal patterns among visual cortical areas and their relation to visual stimulus processing.

Authors:  Inbal Ayzenshtat; Elhanan Meirovithz; Hadar Edelman; Uri Werner-Reiss; Elie Bienenstock; Moshe Abeles; Hamutal Slovin
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

10.  Single neuron firing properties impact correlation-based population coding.

Authors:  Sungho Hong; Stéphanie Ratté; Steven A Prescott; Erik De Schutter
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

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