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Frontiers in Computational Neuroscience|October 13, 2012
Recurrent competition explains temporal effects of attention in MSTdOliver W Layton, N Andrew BrowningPlos Computational Biology|March 4, 2014
A unified model of heading and path perception in primate MSTdOliver W Layton, N Andrew BrowningJournal of Vision|January 26, 2012
A motion pooling model of visually guided navigation explains human behavior in the presence of independently moving objectsOliver W Layton, Ennio Mingolla, N Andrew BrowningSensors (Basel, Switzerland)|December 28, 2021
ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion EstimationOliver W LaytonNeural Networks : the Official Journal of the International Neural Network Society|August 9, 2022
Estimating heading from optic flow: Comparing deep learning network and human performanceNatalie Maus, Oliver W LaytonVision Research|December 3, 2014
A neural model of border-ownership from kinetic occlusionOliver W Layton, Arash YazdanbakhshEneuro|October 13, 2021
Modeling Physiological Sources of Heading Bias from Optic FlowSinan Yumurtaci, Oliver W LaytonNeural Computation|August 1, 2012
A neural circuit for robust time-to-contact estimation based on primate MSTN Andrew BrowningThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 9, 2019
Computational Mechanisms for Perceptual Stability using Disparity and Motion ParallaxOliver W Layton, Brett R FajenJournal of Vision|January 15, 2016
Sources of bias in the perception of heading in the presence of moving objects: Object-based and border-based discrepanciesOliver W Layton, Brett R FajenPageof 3