Information-theoretic methods for studying population codes
نویسندگان
چکیده
منابع مشابه
Information-theoretic methods for studying population codes
Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages carried by different neurons. Here, we review an information-theoretic approach to population coding. We first discuss how to compute the information carried by simultaneously recorded neural populations, and in particular how to reduce the limit...
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1 Computer Learning Research Center, University of London, Royal Holloway TW20 0EX, UK 2 Helsinki Institute for Information Technology, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland 3 Centrum voor Wiskunde en Informatica (CWI), P.O. Box 94079, 1090 GB Amsterdam, The Netherlands 4 Laboratory of Computational Engineering, Helsinki University of Technology, P.O. Box 9203, 02015 HUT,...
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The role of correlations in the activity of neural populations responding to a set of stimuli can be studied within an information theory framework. Regardless of whether one approaches the problem from an encoding or decoding perspective, the main measures used to study the role of correlations can be derived from a common source: the expansion of the mutual information. Two main formalisms of...
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Information Systems studies involve the present and the future. Although data can be obtained on the present, the future can only be estimated. In Information Systems, a rapidly changing intellectual and technological field, simply extrapolating the present to the future is likely to be wrong. This paper presents and explains three proven research methods for studying the IS future and describe...
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Cognitive Sciences, Meliora Hall, University of Rochester, Rochester, New York 14627, USA. ‡Gatsby Computational Neuroscience Unit, Alexandra House, 17 Queen Square, London WC1N 3AR, UK. §Department of Computer Science, University of Toronto, Toronto, Ontario M5S 1A4, Canada. e-mails: [email protected]; [email protected]; [email protected] A fundamental problem in computational neu...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2010
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2010.05.008