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Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance

gruen{at}mpih-frankfurt.mpg.de, Department of Neurophysiology, Max-Planck Institute for Brain Research, D-60528 Frankfurt/Main, Germany

Markus Diesmann

diesmann{at}chaos.gwdg.de, Department of Nonlinear Dynamics, Max-Planck Institut für Strömungsforschung, D-37073 Göttingen, Germany

Ad Aertsen

aertsen{at}biologie.uni-freiburg.de, Department of Neurobiology and Biophysics, Institute of Biology III, Albert-Ludwigs-University, D-79104 Freiburg, Germany

It has been proposed that cortical neurons organize dynamically into functional groups (cell assemblies) by the temporal structure of their joint spiking activity. Here, we describe a novel method to detect conspicuous patterns of coincident joint spike activity among simultaneously recorded single neurons. The statistical significance of these unitary events of coincident joint spike activity is evaluated by the joint-surprise. The method is tested and calibrated on the basis of simulated, stationary spike trains of independently firing neurons, into which coincident joint spike events were inserted under controlled conditions. The sensitivity and specificity of the method are investigated for their dependence on physiological parameters (firing rate, coincidence precision, coincidence pattern complexity) and temporal resolution of the analysis. In the companion article in this issue, we describe an extension of the method, designed to deal with nonstationary firing rates.

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