Learning to see: genetic and environmental influences on visual development
Learning to see: genetic and environmental influences on visual development
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
Neural Computation
A self-organizing model of “color blob” formation
Neural Computation
Learning innate face preferences
Neural Computation
Object recognition by artificial cortical maps
Neural Networks
Hi-index | 0.01 |
Long-range lateral connections in the primary visual cortex (V1) are known to link neurons with similar orientation preferences, but it is not yet known how color-selective cells are connected. Using a self-organizing model of V1 with natural color image input, we show that realistic color-selective receptive fields, color maps, and orientation maps develop. Connections between orientation-selective cells match previous experimental results, and the model predicts that color-selective cells will primarily connect to other cells with similar chromatic preferences. These findings suggest that a single self-organizing system may underlie the development of orientation selectivity, color selectivity, and lateral connectivity.