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.
