Modeling the self-organization of directional selectivity in the primary visual cortex
- Resource Type
- Conference Paper
- Authors
- Farkas, Igor; Miikkulainen, Risto
- Source
- Farkas, Igor and Miikkulainen, Risto (1999) Modeling the self-organization of directional selectivity in the primary visual cortex. [Conference Paper]
- Subject
- Computer Science: Neural Nets
Neuroscience: Neural Modelling
Neural Nets
Neural Modelling
- Language
A model is proposed to demonstrate how neurons in the primary visual cortex could self-organize to represent the direction of motion. The model is based on a temporal extension of the Self-Organizing Map where neurons act as leaky integrators. The map is trained with moving Gaussian inputs, and it develops a retinotopic map with orientation columns that divide into areas of opposite direction selectivity, as found in the visual cortex.