A Scalable FPGA Architecture for Randomly Connected Networks of Hodgkin-Huxley Neurons

A Scalable FPGA Architecture for Randomly Connected Networks of Hodgkin-Huxley Neurons

Human intelligence relies on the vast number of neurons and their interconnections that form a parallel computing engine. If we tend to design a brain-like machine, we will have no choice but to employ many spiking neurons, each one has a large number of synapses. Such a neuronal network is not only...

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Bibliographic Details
Main Authors: Kaveh Akbarzadeh-Sherbaf, Behrooz Abdoli, Saeed Safari, Abdol-Hossein Vahabie
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Neuroscience
Subjects:
Hodgkin-Huxley model
spiking neural network
scalable hardware architecture
connectivity matrix
approximate computing
permutation matrix
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00698/full

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https://www.frontiersin.org/article/10.3389/fnins.2018.00698/full

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