Statistical significance of sequential firing patterns in multi-neuronal spike trains

Diekman, Casey O and Sastry, PS and Unnikrishnan, KP (2009) Statistical significance of sequential firing patterns in multi-neuronal spike trains. In: Journal of Neuroscience Methods, 182 (2). pp. 279-284.

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Abstract

Sequential firings with fixed time delays are frequently observed in simultaneous recordings from multiple neurons. Such temporal patterns are potentially indicative of underlying microcircuits and it is important to know when a repeatedly occurring pattern is statistically significant. These sequences are typically identified through correlation counts. In this paper we present a method for assessing the significance of such correlations. We specify the null hypothesis in terms of a bound on the conditional probabilities that characterize the influence of one neuron on another. This method of testing significance is more general than the currently available methods since under our null hypothesis we do not assume that the spiking processes of different neurons are independent. The structure of our null hypothesis also allows us to rank order the detected patterns. We demonstrate our method on simulated spike trains.

Item Type:	Journal Article
Publication:	Journal of Neuroscience Methods
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Multi-neuron;Spike train;Temporal firing patterns;Precise timing;Statistical significance.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	21 Dec 2009 06:48
Last Modified:	19 Sep 2010 05:46
URI:	http://eprints.iisc.ac.in/id/eprint/23480

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