Open AccessNeuromorphic VLSI Bayesian integration synapse
Author(s) -
Aggarwal A.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.4187
Subject(s) - neuromorphic engineering , bayesian probability , synapse , very large scale integration , computer science , bayesian network , hippocampal formation , mechanism (biology) , computer architecture , artificial intelligence , artificial neural network , neuroscience , psychology , embedded system , physics , quantum mechanics
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.