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Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays

The control of input-to-output mappings, or gain control, is one of the main strategies used by neural networks for the processing and gating of information. Using a spiking neural network model, we studied the gain control induced by a form of inhibitory feedforward circuitry—also known as “open-lo...

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Detalles Bibliográficos
Autores principales: Mejias, Jorge F., Payeur, Alexandre, Selin, Erik, Maler, Leonard, Longtin, André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934558/
https://www.ncbi.nlm.nih.gov/pubmed/24616694
http://dx.doi.org/10.3389/fncom.2014.00019