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 Neuroscijournal_title
Journal of computational neuroscienceauthors
Kinzel Wdoi
10.1007/s10827-007-0049-3subject
Has Abstractpub_date
2008-02-01 00:00:00pages
105-12issue
1eissn
0929-5313issn
1573-6873journal_volume
24pub_type
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