DocumentCode
49225
Title
Neuromorphic VLSI Bayesian integration synapse
Author
Aggarwal, A.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
Volume
51
Issue
3
fYear
2015
fDate
2 5 2015
Firstpage
207
Lastpage
209
Abstract
Bayesian integration is thought to be used by the brain for optimal decision-making based on information from different sources. Recent evidence indicates that the hippocampal place cells use this mechanism to integrate information at the level of a single cell as opposed to that at the network level as postulated earlier. Therefore a synapse circuit is proposed, which can perform Bayesian integration on three inputs and present results from its implementation in silicon.
Keywords
Bayes methods; VLSI; decision making; Si; brain; decision-making; neuromorphic VLSI Bayesian integration synapse; synapse circuit;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2014.4187
Filename
7029774
Link To Document