An FPGA-based silicon neuronal network with selectable excitability silicon neurons

An FPGA-based silicon neuronal network with selectable excitability silicon neurons

This paper presents a digital silicon neuronal network which simulates the nerve system in creatures and has the ability to execute intelligent tasks, such as associative memory. Two essential elements, the mathematical-structure-based digital spiking silicon neuron (DSSN) and the transmitter releas...

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Bibliographic Details
Main Authors: Jing eLi, Yuichi eKatori, Takashi eKohno
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-12-01
Series:Frontiers in Neuroscience
Subjects:
Associative Memory
FPGA
synchrony
Silicon neurons
silicon synapse
digital silicon neuronal network
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00183/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00183/full

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