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Visual Cognition Volume 8, 2001 - Issue 3-5
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Original Articles

Objective assessment of the functional role of spike train correlations using information measures

Stefano Panzeri
,
Huw D. R. Golledge
,
Fashan Zheng
,
Martin J. Tovée
&
Malcolm P. Young
Pages 531-547 | Published online: 01 Oct 2010

Citations (13)

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Read on this site (1)

Kate S. Gaudry & Pamela Reinagel. (2008) Information measure for analyzing specific spiking patterns and applications to LGN bursts. Network: Computation in Neural Systems 19:1, pages 69-94.
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Articles from other publishers (12)

Nathalie Van Humbeeck, Tom Putzeys & Johan Wagemans. (2016) Apparent Motion Suppresses Responses in Early Visual Cortex: A Population Code Model. PLOS Computational Biology 12:10, pages e1005155.
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Mehdi Adibi, James S. McDonald, Colin W. G. Clifford & Ehsan Arabzadeh. (2014) Population Decoding in Rat Barrel Cortex: Optimizing the Linear Readout of Correlated Population Responses. PLoS Computational Biology 10:1, pages e1003415.
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Fernando Montani, Elena Phoka, Mariela Portesi & Simon R. Schultz. (2013) Statistical modelling of higher-order correlations in pools of neural activity. Physica A: Statistical Mechanics and its Applications 392:14, pages 3066-3086.
Crossref
Jonathan W. Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M. Litke, E. J. Chichilnisky & Eero P. Simoncelli. (2008) Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 454:7207, pages 995-999.
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F. KlamR. S. Zemel & A. Pouget. (2008) Population Coding with Motion Energy Filters: The Impact of Correlations. Neural Computation 20:1, pages 146-175.
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Bruno B. Averbeck, Peter E. Latham & Alexandre Pouget. (2006) Neural correlations, population coding and computation. Nature Reviews Neuroscience 7:5, pages 358-366.
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G. PolaR. S. PetersenA. ThieleM. P. YoungS. Panzeri. (2005) Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population. Neural Computation 17:9, pages 1962-2005.
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Peter E. Latham & Sheila Nirenberg. (2005) Synergy, Redundancy, and Independence in Population Codes, Revisited. The Journal of Neuroscience 25:21, pages 5195-5206.
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Sheila Nirenberg & Peter E. Latham. (2003) Decoding neuronal spike trains: How important are correlations?. Proceedings of the National Academy of Sciences 100:12, pages 7348-7353.
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Stefano Panzeri, Gianni Pola, Filippo Petroni, Malcolm P. Young & Rasmus S. Petersen. (2002) A critical assessment of different measures of the information carried by correlated neuronal firing. Biosystems 67:1-3, pages 177-185.
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S Panzeri, H.D.R Golledge, F Zheng, G Pola, T.J Blanche, M.J Tovee & M.P Young. (2002) The role of correlated firing and synchrony in coding information about single and separate objects in cat V1. Neurocomputing 44-46, pages 579-584.
Crossref
Peter Andras, Stefano Panzeri & Malcolm P. Young. (2002) Toward statistically valid population decoding models. Neurocomputing 44-46, pages 269-274.
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