What role does self-organized lateral connectivity in V1 play in predicting spatiotemporal response? (PhD)

Building on modelling work from my MSc project, I propose to build the first self-organizing developmental models that include detailed simulation of the time course of visual processing.  Using these models, I hope to explain how circuits in V1, and in particular the lateral connections in V1, can perform prediction of spatiotemporal sequences, based on a history of experience with such sequences built up over the course of development.  Specific phenomena to investigate include the line-motion illusion, the relation between spontaneous spatiotemporal visual system activity and visually evoked responses, and theoretical relationships between this mechanistic model and models of spatiotemporal prediction from information theoretic or probabilistic perspectives.

Related Themes

Related Publications and Presentations

  • Philipp J F Rudiger, Jean-Luc Stevens, and James A. Bednar, “A spatio-temporally calibrated model of feature map development and neuronal activity in primate V1”, Society for Neuroscience (SfN), 2012.
  • Jean-Luc Stevens, Marco Elver, and James A. Bednar, “An automated simulator-independent workflow for reproducible simulation and analysis using Lancet and IPython Notebook”, Computational Neuroscience (CNS), Paris 2013, 2013.
  • Jean-Luc Stevens, and James A. Bednar, “A temporal model of neural activity and VSD response in V1”, Computational Neuroscience (CNS*2012), Atlanta, 2012.
  • Jean-Luc Stevens, Judith S. Law, Jan Antolik, and James A. Bednar, “Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex”, Journal of Neuroscience, 2013, 33(40), 15747-15766.
  • Jean-Luc Stevens, Marco Elver, and James A. Bednar, “An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook”, Frontiers in Neuroinformatics, 2013, 7.

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