title: Modeling the self-organization of directional selectivity in the primary visual cortex creator: Farkas, Igor creator: Miikkulainen, Risto subject: Neural Nets subject: Neural Modelling description: 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. date: 1999 type: Conference Paper type: PeerReviewed format: application/postscript identifier: http://cogprints.org/1913/1/icann99.ps.gz identifier: Farkas, Igor and Miikkulainen, Risto (1999) Modeling the self-organization of directional selectivity in the primary visual cortex. [Conference Paper] relation: http://cogprints.org/1913/