Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro

Authors:
Martin P. Nawrot;Clemens Boucsein;Victor Rodriguez-Molina;Ad Aertsen;Sonja Grün;Stefan Rotter
Affiliations:
Neuroinformatics, Institute of Biology-Neurobiology, Free University Berlin, Germany and Bernstein Center for Computational Neuroscience, Berlin, Germany and Bernstein Center for Computational Neu ...;Bernstein Center for Computational Neuroscience, Freiburg, Germany and Neurobiology & Biophysics, Institute of Biology III, Albert-Ludwigs-University Freiburg, Germany;Neurobiology & Biophysics, Institute of Biology III, Albert-Ludwigs-University Freiburg, Germany;Bernstein Center for Computational Neuroscience, Freiburg, Germany and Neurobiology & Biophysics, Institute of Biology III, Albert-Ludwigs-University Freiburg, Germany;Neuroinformatics, Institute of Biology-Neurobiology, Free University Berlin, Germany and Bernstein Center for Computational Neuroscience, Berlin, Germany;Bernstein Center for Computational Neuroscience, Freiburg, Germany and Theory & Data Analysis, Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
Venue:
Neurocomputing
Year:
2007

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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.