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Driven by inhibition
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DOI：10.1016/S0925-2312(00)00171-5.png)
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We study the stability and information encoding capacity of synchronized states in a neuronal network model that represents part of the thalamic circuitry. Our model neurons have a Hodgkin-Huxley-type low threshold calcium channel, display post-inhibitory rebound, and are connected via GABAergic inhibitory synapses. Noise drives both the subthreshold nonspiking as well as the above threshold regularly spiking state into a self-organized, stochastically synchronized state. Neuronal firing is organized in stochastic clusters, with individual neurons hopping from cluster to cluster. The information content of the resulting spike trains consists of two separate contributions: the spike-time jitter around cluster firing times, and the hopping from cluster to cluster. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
neural assemblies
information theory
inhibition
noise
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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