Self-Organization of Directional Selectivity
Active from 1999 - 2002
Our goal is to understand how orientation tuning and direction selectivity simultaneously develop in the visual cortex. With this goal in mind we first built a SOM-based model that self-organized to represent these features. We then created a more low-level model, based on a delay adaptation learning rule that adjusts delays in a network based on spike timing. An early result shows that using the delay learning rule, the network develops into a map of directional selectivity. We have since built combined maps of directional selectivity and orientation in LISSOM, which shows how lateral connections can organize synergetically with the map.
Tal Tversky Ph.D. Alumni tal [at] cs utexas edu
James A. Bednar Postdoctoral Alumni jbednar [at] inf ed ac uk
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps 2003
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 52--54 (2003), pp. 473-480.
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps 2002
Tal Tversky and Risto Miikkulainen, Neurocomputing, Vol. 44--46 (2002), pp. 679--684. Also in J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2002 (CNS*01, Pacific Grove, CA). New York: Elsevier.
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex 1999
Igor Farkas and Risto Miikkulainen, In Proceedings of the Ninth International Conference on Artificial Neural Networks, Erkki Oja and Samuel Kaski (Eds.), pp. 251-256, Amsterdam 1999. Elsevier.