Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data

The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technology the massively parallel data required to search for such signatures are now becoming available. However, existing statistical analysis tools are severely limited by the combinatorial explosion in the number of spike patterns to be considered. Therefore, population measaures need to be constructed reducing the number of tests and the recording time required, potentially for the price of being able to answer only a restricted set of questions. Here we investigate the population histogram of the time course of neuronal activity as the simplest example. The amplitude distribution of this histogram is called the complexity distribution. Independent of neuron identity it describes the probability to observe a particular number of synchronous spikes. On the basis of two models we illustrate that in the presence o...

• Type: Conference
• Year: 2007
• Where: NN
• Authors: Sonja Grün, Moshe Abeles, Markus Diesmann
• Keywords: Artificial Intelligence, Combinatorial Explosion, Complexity Distribution, Massively Parallel, NN 2007