Learning binocular disparity encoding simple cells in a model of primary visual cortex

Abstract

Event Abstract Back to Event Learning binocular disparity encoding simple cells in a model of primary visual cortex Mark Voss1*, Jan Wiltschut1 and Fred H. Hamker2 1 Westfalischen Wilhelms-Universitat, Psychologisches Institut II, Germany 2 Technichal University Chemnitz, Computer Science Department, Germany The neural process of stereoscopic depth discrimination is thought to be initiated in the primary visual cortex. So far, most models incorporating binocular disparity in primary visual cortex build upon constructed, disparity encoding neurons (e.g. Read, Progress in Molecular Biology and Biophysics, 2004), but see (Hoyer & Hyvarinen, Network, 2000) for applying ICA to stereo images. Although these artificially constructed neurons can take into account different types of binocular disparity encoding, namely by position or phase, and can cover a defined range of disparities, they give no insight into the development of structural and functional patterns in primary visual cortex and depict a very limited subset of neurons that might contribute to disparity encoding. Here, we have extended our monocular model of primary visual cortex with nonlinear dynamics and Hebbian learning (Wiltschut & Hamker, Vis. Neurosci., 2009) to binocular vision. After presenting natural stereo scenes to our model, the learned neurons show disparity tuning in diverse degrees and with complex structure. We observe different types of near- and far- tuned, oriented receptive fields similar as has been observed in V1. As compared to ICA, our model appears to provide a better fit to physiological data. We conclude that unsupervised Hebbian learning provides a useful model to explain the development of receptive fields, not only in the orientation and spatial frequency domain but also with respect to disparity. Conference: Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, 30 Sep - 2 Oct, 2009. Presentation Type: Poster Presentation Topic: Neural encoding and decoding Citation: Voss M, Wiltschut J and Hamker FH (2009). Learning binocular disparity encoding simple cells in a model of primary visual cortex. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.104 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 27 Aug 2009; Published Online: 27 Aug 2009. * Correspondence: Mark Voss, Westfalischen Wilhelms-Universitat, Psychologisches Institut II, Munster, Germany, mark.voss@uni-muenster.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Mark Voss Jan Wiltschut Fred H Hamker Google Mark Voss Jan Wiltschut Fred H Hamker Google Scholar Mark Voss Jan Wiltschut Fred H Hamker PubMed Mark Voss Jan Wiltschut Fred H Hamker Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.