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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"
Mean distance: 16.68 (cluster 29)
 
Cross-listing: Computational Biology Tree

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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 UT 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

Collaborators

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frederic chavane collaborator Edinburgh
Laurent Perrinet collaborator Edinburgh
BETA: Related publications

Publications

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Silverstein S, Demmin D, Bednar J. (2017) M38. Computational Modeling of Low-Level Visual Processing Impairments in Schizophrenia Schizophrenia Bulletin. 43: S225-S225
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
Wilson SP, Bednar JA. (2015) What, if anything, are topological maps for? Developmental Neurobiology. 75: 667-81
Perrinet LU, Bednar JA. (2014) Edge co-occurrences are sufficient to categorize natural versus animal images Journal of Vision. 14: 1310-1310
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
Stevens JR, Elver M, Bednar JA. (2013) An automated simulator-independent workflow for reproducible simulation and analysis using Lancet and IPython Notebook Bmc Neuroscience. 14
Rudiger P, Law JS, Antolik J, et al. (2013) Developing orientation maps using realistic patterns of lateral connectivity Bmc Neuroscience. 14
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