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Title:Models of Neurons in the Superior Colliculus and Unsupervised Learning of Parameters From Time Series
Author(s):Seguin, Christopher A.
Doctoral Committee Chair(s):Sylvian R. Ray
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Biology, Neuroscience
Abstract:In addition, this research presents a biologically feasible unsupervised learning algorithm for learning parameter values from transiently presented stimuli. The algorithm is used to learn temporal relationships between stimuli and amplitudes.
Issue Date:1998
Type:Text
Language:English
Description:247 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.
URI:http://hdl.handle.net/2142/81935
Other Identifier(s):(MiAaPQ)AAI9912373
Date Available in IDEALS:2015-09-25
Date Deposited:1998


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