Literature DB >> 8658595

Integrator or coincidence detector? The role of the cortical neuron revisited.

P König1, A K Engel, W Singer.   

Abstract

Neurons can operate in two distinct ways, depending on the duration of the interval over which they effectively summate incoming synaptic potentials. If this interval is of the order of the mean interspike interval or longer, neurons act effectively as temporal integrators and transmit temporal patterns with only low reliability. If, by contrast, the integration interval is short compared to the interspike interval, neurons act essentially as coincidence detectors, relay preferentially synchronized input, and the temporal structure of their output is a direct function of the input pattern. Recently, interest in this distinction has been revived because experimental and theoretical results suggest that synchronous firing of neurons might play an important role for information processing in the cortex. Here, we argue that coincidence detection, rather than temporal integration, might be a prevalent operation mode of cortical neurons. We base our arguments on established biophysical properties of cortical neurons and on particular features of cortical dynamics.

Mesh:

Year:  1996        PMID: 8658595     DOI: 10.1016/s0166-2236(96)80019-1

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  184 in total

1.  Control of action potential timing by intrinsic subthreshold oscillations in olfactory bulb output neurons.

Authors:  D Desmaisons; J D Vincent; P M Lledo
Journal:  J Neurosci       Date:  1999-12-15       Impact factor: 6.167

2.  Activity-driven computational strategies of a dynamically regulated integrate-and-fire model neuron.

Authors:  M Giugliano; M Bove; M Grattarola
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

3.  Coincidence detection or temporal integration? What the neurons in somatosensory cortex are doing.

Authors:  S A Roy; K D Alloway
Journal:  J Neurosci       Date:  2001-04-01       Impact factor: 6.167

4.  Supralinear summation of synaptic inputs by an invertebrate neuron: dendritic gain is mediated by an "inward rectifier" K(+) current.

Authors:  R Wessel; W B Kristan; D Kleinfeld
Journal:  J Neurosci       Date:  1999-07-15       Impact factor: 6.167

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

Authors:  D Jaeger; J M Bower
Journal:  J Neurosci       Date:  1999-07-15       Impact factor: 6.167

6.  Silicon synaptic conductances.

Authors:  C Rasche; R J Douglas
Journal:  J Comput Neurosci       Date:  1999 Jul-Aug       Impact factor: 1.621

7.  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

8.  Contributions of intrinsic and synaptic activities to the generation of neuronal discharges in in vitro hippocampus.

Authors:  I Cohen; R Miles
Journal:  J Physiol       Date:  2000-04-15       Impact factor: 5.182

9.  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

10.  A neurocomputational theory of the dopaminergic modulation of working memory functions.

Authors:  D Durstewitz; M Kelc; O Güntürkün
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

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