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Correlations, feature-binding and population coding in primary visual cortex

Lookup NU author(s): Dr Huw Golledge, Dr Stefano Panzeri, Dr Fashan Zheng, Gianni Pola, Dr Jack Scannell, Dimitrios Giannikopoulus, Roger Mason, Dr Martin Tovee, Professor Malcolm Young


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To test the hypothesis that correlated neuronal activity serves as the neuronal code for visual feature binding, we applied information theory techniques to multiunit activity recorded from pairs of VI recording sites in anaesthetised cats while presenting either single or separate bar stimuli. We quantified the roles of firing rates of individual channels and of cross-correlations between recording sites in encoding of visual information. Between 89 and 96% of the information was carried by firing rates; correlations contributed 4-11% extra information. The distribution across the population of either correlation strength or correlation information did not co-vary systematically with changes in perception predicted by Gestalt psychology. These results suggest that firing rates, rather than correlations, are the main element of the population code for feature binding in primary visual cortex. © 2003 Lippincott Williams & Wilkins.

Publication metadata

Author(s): Golledge HDR, Panzeri S, Zheng F, Pola G, Scannell JW, Giannikopoulos DV, Mason RJ, Tovee MJ, Young MP

Publication type: Article

Publication status: Published

Journal: NeuroReport

Year: 2003

Volume: 14

Issue: 7

Pages: 1045-1050

Print publication date: 01/05/2003

ISSN (print): 0959-4965

ISSN (electronic): 1473-558X

Publisher: Lippincott Williams & Wilkins


DOI: 10.1097/00001756-200305230-00028

PubMed id: 12802200


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