The Role of Chemical Mechanisms in Neural Computation and Learning

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6786

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DC Field	Value	Language
dc.creator	Hiller, Martha J.	-
dc.date	2004-10-20T19:55:00Z	-
dc.date	2004-10-20T19:55:00Z	-
dc.date	1995-05-23	-
dc.date.accessioned	2013-10-09T02:46:55Z	-
dc.date.available	2013-10-09T02:46:55Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1455	-
dc.identifier	http://hdl.handle.net/1721.1/6786	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Most computational models of neurons assume that their electrical characteristics are of paramount importance. However, all long-term changes in synaptic efficacy, as well as many short-term effects, are mediated by chemical mechanisms. This technical report explores the interaction between electrical and chemical mechanisms in neural learning and development. Two neural systems that exemplify this interaction are described and modelled. The first is the mechanisms underlying habituation, sensitization, and associative learning in the gill withdrawal reflex circuit in Aplysia, a marine snail. The second is the formation of retinotopic projections in the early visual pathway during embryonic development.	-
dc.format	133 p.	-
dc.format	1418693 bytes	-
dc.format	1755787 bytes	-
dc.format	application/octet-stream	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1455	-
dc.subject	visual system development	-
dc.subject	learning mechanisms	-
dc.subject	synaptic learning mechanisms	-
dc.title	The Role of Chemical Mechanisms in Neural Computation and Learning	-
Appears in Collections:	MIT Items

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