HEBBIAN LEARNING AND THE DEVELOPMENT OF DIRECTION SELECTIVITY - THE ROLE OF GENICULATE RESPONSE TIMINGS

Zero-sum Hebbian learning rules that reinforce well correlated inputs have been used by others to model the competitive self-organization of afferents from the lateral geniculate nucleus to produce orientation selectivity and ocular dominance columns. However, the application of these simple Hebbian rules to the development of direction selectivity (DS) is problematic because the best correlated inputs are those that are well correlated in both the preferred and nonpreferred directions of motion. Such afferents would combine to produce non-DS cortical un its. Afferents that are in spatiotemporal quadrature would combine to produce DS cortical units, but are poorly correlated in the nonpreferr ed direction. In this paper, the development of DS is reduced to the p roblem of associating a pair of units in spatiotemporal quadrature in the face of competition from a third, non-quadrature unit. As expected , simple Hebbian learning rules perform poorly at associating the quad rature pair. However, two additional Hebb-type learning rules, postsyn aptic gating and BCM (Bienenstock, Cooper and Munro), improve performa nce. Results from this three-input model are shown to generalize to a larger network. We conclude that learning rules in which the postsynap tic response determines the magnitude and/or direction of synaptic cha nge perform better than simple Hebbian rules at establishing direction selectivity.