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Information-theoretic methods for studying population codes

Ince, Robin A; Senatore, Riccardo; Arabzadeh, Ehsan; Montani, Fernando; Diamond, Mathew E; Panzeri, Stefano


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 limited sampling bias which affects the calculation of information from a limited amount of experimental...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Neural Networks
DOI: 10.1016/j.neunet.2010.05.008


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