Models of Neurons in the Superior Colliculus and Unsupervised Learning of Parameters From Time Series
Seguin, Christopher A.
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Permalink
https://hdl.handle.net/2142/81935
Description
Title
Models of Neurons in the Superior Colliculus and Unsupervised Learning of Parameters From Time Series
Author(s)
Seguin, Christopher A.
Issue Date
1998
Doctoral Committee Chair(s)
Sylvian R. Ray
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Biology, Neuroscience
Language
eng
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.
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