Capturing Multiple Timescales of Adaptation to Second-Order Statistics With Generalized Linear Models: Gain Scaling and Fractional Differentiation

Single neurons can dynamically change the gain of their spiking responses to take into account shifts in stimulus variance. Moreover, gain adaptation can occur across multiple timescales. Here, we examine the ability of a simple statistical model of spike trains, the generalized linear model (GLM),...

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Detalles Bibliográficos
Autores principales: Latimer, Kenneth W., Fairhall, Adrienne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509073/
https://www.ncbi.nlm.nih.gov/pubmed/33013331
http://dx.doi.org/10.3389/fnsys.2020.00060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509073/
https://www.ncbi.nlm.nih.gov/pubmed/33013331
http://dx.doi.org/10.3389/fnsys.2020.00060

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