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 / L. Sacerdote; R. Sirovich. - In: JOURNAL OF PHYSIOLOGY. - ISSN 0928-4257. - STAMPA. - 104:3-4(2010), pp. 223-230.
Titolo: | A copulas approach to neuronal networks models |
Autori Riconosciuti: | |
Autori: | L. Sacerdote; R. Sirovich |
Data di pubblicazione: | 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. |
Volume: | 104 |
Fascicolo: | 3-4 |
Pagina iniziale: | 223 |
Pagina finale: | 230 |
Digital Object Identifier (DOI): | 10.1016/j.jphysparis.2009.11.020 |
URL: | http://www.sciencedirect.com/science/article/pii/S0928425709001028 |
Parole Chiave: | Stchastic Neuronal Models; Copula Function; Spike Trains Analysis |
Rivista: | JOURNAL OF PHYSIOLOGY |
Appare nelle tipologie: | 03A-Articolo su Rivista |
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