James A. Bednar

Affiliations: 
University of Edinburgh, Edinburgh, Scotland, United Kingdom 
Area:
computational neuroscience, visual system, topographic maps, development
Website:
http://homepages.inf.ed.ac.uk/jbednar
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"James Bednar"
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Cross-listing: Computational Biology Tree

Parents

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Risto Miikkulainen grad student 1995-2002 UT Austin
 (Learning to see: Genetic and environmental influences on visual development.)

Children

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Judah Ben De Paula grad student 2004-2007 The University of Texas at Austin
Marina Papoutsi grad student 2004-2009 Edinburgh
Christopher Palmer grad student 2005-2009 Edinburgh
Judith S. Law grad student 2005-2010 Edinburgh
Jan Antolik grad student 2006-2010 Edinburgh
Chen (Roger) Zhao grad student 2006-2011 Edinburgh
Stuart P. Wilson grad student 2007-2011 University of Sheffield
Bharath Chandra Talluri grad student 2012-2013 Edinburgh
Philipp J F Rudiger grad student 2011-2014 Edinburgh
Christopher E. Ball grad student 2008-2015 Edinburgh
BETA: Related publications

Publications

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Antolík J, Hofer SB, Bednar JA, et al. (2016) Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. Plos Computational Biology. 12: e1004927
Bednar JA, Wilson SP. (2015) Cortical Maps. The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry
Perrinet LU, Bednar JA. (2015) Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. 5: 11400
Muller E, Bednar JA, Diesmann M, et al. (2015) Python in neuroscience. Frontiers in Neuroinformatics. 9: 11
Wilson SP, Bednar JA. (2015) What, if anything, are topological maps for? Developmental Neurobiology. 75: 667-81
Perrinet LU, Adams RA, Friston KJ. (2014) Active inference, eye movements and oculomotor delays. Biological Cybernetics. 108: 777-801
Bednar JA. (2014) Constructing complex systems via activity-driven unsupervised hebbian self-organization Studies in Computational Intelligence. 557: 201-225
Stevens JL, Elver M, Bednar JA. (2013) An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook. Frontiers in Neuroinformatics. 7: 44
Stevens JL, Law JS, Antolík J, et al. (2013) Mechanisms for stable, robust, and adaptive development of orientation maps in the primary visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 15747-66
Kaplan BA, Lansner A, Masson GS, et al. (2013) Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience. 7: 112
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