FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model

A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics...

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Detalles Bibliográficos
Autores principales: Yaghini Bonabi, Safa, Asgharian, Hassan, Safari, Saeed, Nili Ahmadabadi, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4240168/
https://www.ncbi.nlm.nih.gov/pubmed/25484854
http://dx.doi.org/10.3389/fnins.2014.00379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4240168/
https://www.ncbi.nlm.nih.gov/pubmed/25484854
http://dx.doi.org/10.3389/fnins.2014.00379

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