Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408482 | Neurocomputing | 2007 | 6 Pages |
Abstract
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually independent by analyzing stationary spike train recordings from individual rat neocortical neurons in vivo and in vitro. All neurons exhibited moderate (in vivo) or weak (in vitro) negative first order serial correlation of neighboring intervals which was found to be significant in most cases. No significant higher order serial correlations were detected. The observed negative correlation lead to a strong reduction of the spike count variability by about 30% in vivo.
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Physical Sciences and Engineering
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Artificial Intelligence
Authors
Martin P. Nawrot, Clemens Boucsein, Victor Rodriguez-Molina, Ad Aertsen, Sonja Grün, Stefan Rotter,