Edinburgh Research Explorer

Research Interests

Computational neuroscience of vision and other sensory systems, large-scale modelling of cortical development and function, neural simulators.

Qualifications

2002 Ph.D in Computer Science
1997 MA in Computer Science
1994 BA in Philosophy
1993 BS in Electrical Engineering

Biography

Jim Bednar leads the Computational Systems Neuroscience Group at the University of Edinburgh, and is the Director of the Edinburgh Doctoral Training Centre in Neuroinformatics and Computational Neuroscience, which has 60 current PhD students. His Ph.D. in Computer Science is from the University of Texas at Austin, and he also has degrees in Philosophy and Electrical Engineering. His research focuses on computational modeling of the development and function of mammalian visual systems. He is a co-author of the monograph "Computational Maps in the Visual Cortex" (Springer, 2005), and is the lead author of the Topographica cortical modeling software package. He is on the Editorial Board for the Connection Science journal and the Review Editorial Board for Frontiers in Neuroinformatics and Frontiers in Computational Neuroscience, and is the Visual System editor for the Springer Encyclopedia of Computational Neuroscience.

Research students

Current PhD Students

Chris Ball

Philipp Rudiger

Jean-Luc Stevens

Previous PhD Students

Jan Antolik (2011)

Chen Zhao (2011)

Judith Law (2009)

Christopher Palmer (2009)

Marina Papoutsi (2009)

Research outputs

  1. Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

  2. Topographica

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

  3. Hebbian Learning of the Statistical and Geometrical Structure of Visual Input

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

View all (53) »

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