Predictive coding accounts for V1 response properties recorded using reverse correlation

Biological cybernetics
M W Spratling

Abstract

PC/BC ("Predictive coding/Biased competition") is a simple computational model that has previously been shown to explain a very wide range of V1 response properties. This article extends work on the PC/BC model of V1 by showing that it can also account for V1 response properties measured using the reverse correlation methodology. Reverse correlation employs an experimental procedure that is significantly different from that used in more typical neurophysiological experiments, and measures some distinctly different response properties in V1. Despite these differences PC/BC successfully accounts for the data. The current results thus provide additional support for the PC/BC model of V1 and further demonstrate that PC/BC offers a unified explanation for the seemingly diverse range of behaviours observed in primary visual cortex.

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Citations

Sep 7, 2013·PLoS Computational Biology·Mengchen Zhu, Christopher J Rozell
Jul 3, 2013·Journal of Computational Neuroscience·M W Spratling
Dec 28, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Michael W Spratling
May 12, 2015·Consciousness and Cognition·Leon de Bruin, Derek Strijbos
Jun 7, 2014·Frontiers in Human Neuroscience·Emine Merve Kaya, Mounya Elhilali
May 15, 2013·The Behavioral and Brain Sciences·Michael W Spratling
Apr 28, 2016·Cognitive Processing·M W Spratling
Mar 10, 2016·PloS One·Rajani Raman, Sandip Sarkar
Jan 11, 2019·Journal of Vision·Elle van HeusdenHinze Hogendoorn

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