Development of joint ocular dominance and orientation selectivity maps in a correlation-based neural network model

A new correlation-based model for ocular dominance and orientation selectivity columns is proposed. This model can be used to obtain realistic maps for either the ocular dominance maps or orientation selectivity maps. It can also be used to generate joint maps that take into account the extra requirements related to the singularities of the orientation selectivity map and the relative angles of intersection between the contour lines of the two maps. For future research we propose the use of stochastic processes in generating cortical maps and modi1cation of Hebbian cortical interaction terms to make the model more biologically plausible. c © 2002 Elsevier Science B.V. All rights reserved.