On the stationary state of a network of inhibitory spiking neurons.

Abstract:

:The background activity of a cortical neural network is modeled by a homogeneous integrate-and-fire network with unreliable inhibitory synapses. For the case of fast synapses, numerical and analytical calculations show that the network relaxes into a stationary state of high attention. The majority of the neurons has a membrane potential just below the threshold; as a consequence the network can react immediately - on the time scale of synaptic transmission- on external pulses. The neurons fire with a low rate and with a broad distribution of interspike intervals. Firing events of the total network are correlated over short time periods. The firing rate increases linearly with external stimuli. In the limit of infinitely large networks, the synaptic noise decreases to zero. Nevertheless, the distribution of interspike intervals remains broad.

journal_name

J Comput Neurosci

authors

Kinzel W

doi

10.1007/s10827-007-0049-3

subject

Has Abstract

pub_date

2008-02-01 00:00:00

pages

105-12

issue

1

eissn

0929-5313

issn

1573-6873

journal_volume

24

pub_type

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