Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization

Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization

Neurological diseases can be studied by performing bio-hybrid experiments using a real-time biomimetic Spiking Neural Network (SNN) platform. The Hodgkin-Huxley model offers a set of equations including biophysical parameters which can serve as a base to represent different classes of neurons and af...

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Bibliographic Details
Main Authors: Farad Khoyratee, Filippo Grassia, Sylvain Saïghi, Timothée Levi
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Neuroscience
Subjects:
Hodgkin-Huxley
neuromorphic
biomimetic
neural diseases
spiking neural network
bio-hybrid
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00377/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00377/full

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