Concepts and Recent Advances in Generalized Information Measures and Statistics

Information-Theoretic Analysis of the Role of Correlations in Neural Spike Trains

Author(s): Fernando Montani and Simon R. Schultz

Pp: 375-407 (33)

Doi: 10.2174/9781608057603113010020

* (Excluding Mailing and Handling)

Abstract

We have applied an information theoretic approach to gain insights of the role of spike correlations in the neuronal code. First, we illustrate and compare the different methods used in the literature to remove sample size dependent bias from information estimations. Then, we use a modified version of the information components breakdown to quantify the contribution of individual members of the population, the interaction between them, and the overall information encoded by the ensemble of neurons making an especial emphasis of the separation between contributions due to the noise and signal spike correlations. This formalism is applied to a set of multi-neuronal spike data with different stimuli configurations.


Keywords: Information Theory, Neural Code, Sampling bias correction, Spike correlations, Sensory encoding.

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