Simultaneous recordings from groups of neurons request to improve models. To switch from single unit description to multivariate models describing the coding activity of two or more neurons, we propose to use the copula notion. This mathematical object catches the coupling properties and allows a mathematical description of the dependencies between two or more random variables. Its use is here illustrated by means of toy examples and further applications are discussed.

A copulas approach to neuronal networks models

SACERDOTE, Laura Lea;SIROVICH, ROBERTA
2010

Abstract

Simultaneous recordings from groups of neurons request to improve models. To switch from single unit description to multivariate models describing the coding activity of two or more neurons, we propose to use the copula notion. This mathematical object catches the coupling properties and allows a mathematical description of the dependencies between two or more random variables. Its use is here illustrated by means of toy examples and further applications are discussed.
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http://www.sciencedirect.com/science/article/pii/S0928425709001028
Stchastic Neuronal Models; Copula Function; Spike Trains Analysis
L. Sacerdote; R. Sirovich
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/58413
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