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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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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 |