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 James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 2003, 52--54, 473-480, 2003. 2003

Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps Tal Tversky and Risto Miikkulainen Neurocomputing, 44--46:679--684, 2002. Also in J. M. Bower (editor), Computational Neuroscien... 2002

Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex Igor Farkas and Risto Miikkulainen In Erkki Oja and Samuel Kaski, editors, Proceedings of the Ninth International Conference on Arti... 1999