Behavioral and Brain Sciences

Short Communication

The Law of Practice and localist neural network models

Andrew Heathcote a1 and Scott Brown a1
a1 Department of Psychology, The University of Newcastle, Callaghan, 2308, NSW, Australia {heathcote; sbrown}


An extensive survey by Heathcote et al. (in press) found that the Law of Practice is closer to an exponential than a power form. We show that this result is hard to obtain for models using leaky competitive units when practice affects only the input, but that it can be accommodated when practice affects shunting self-excitation.