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W Layton

Showing results (1-10 of 59) with videos related to

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Avian Diseases|October 1, 1984
Efficacy of broth-grown Pasteurella multocida bacterins in ducklingsH W Layton
Health Physics|January 1, 1993
Metabolically consistent breathing rates for use in dose assessmentsD W Layton
Sensors (Basel, Switzerland)|December 28, 2021
ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion EstimationOliver W Layton
Neural 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 Layton
Eneuro|October 13, 2021
Modeling Physiological Sources of Heading Bias from Optic FlowSinan Yumurtaci, Oliver W Layton
The Medical Journal of Australia|January 18, 1975
Geochemistry and multiple sclerosis: a hypothesisW Layton, J M Sutherland
Vision Research|December 3, 2014
A neural model of border-ownership from kinetic occlusionOliver W Layton, Arash Yazdanbakhsh
The 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 Fajen
Journal 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 Fajen
Journal of Neurophysiology|October 30, 2015
The temporal dynamics of heading perception in the presence of moving objectsOliver W Layton, Brett R Fajen
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Avian Diseases|October 1, 1984
Efficacy of broth-grown Pasteurella multocida bacterins in ducklingsH W Layton
Health Physics|January 1, 1993
Metabolically consistent breathing rates for use in dose assessmentsD W Layton
Sensors (Basel, Switzerland)|December 28, 2021
ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion EstimationOliver W Layton
Neural 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 Layton
Eneuro|October 13, 2021
Modeling Physiological Sources of Heading Bias from Optic FlowSinan Yumurtaci, Oliver W Layton
The Medical Journal of Australia|January 18, 1975
Geochemistry and multiple sclerosis: a hypothesisW Layton, J M Sutherland
Vision Research|December 3, 2014
A neural model of border-ownership from kinetic occlusionOliver W Layton, Arash Yazdanbakhsh
The 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 Fajen
Journal 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 Fajen
Journal of Neurophysiology|October 30, 2015
The temporal dynamics of heading perception in the presence of moving objectsOliver W Layton, Brett R Fajen
Pageof 6