Biological Cybernetics

, Volume 74, Issue 5, pp 439–447

Organization of receptive fields in networks with Hebbian learning: the connection between synaptic and phenomenological models

Authors

  • Harel Shouval
    • Department of Physics, The Department of Neuroscience and The Institute for Brain and Neural SystemsBrown University
  • Leon N. Cooper
    • Department of Physics, The Department of Neuroscience and The Institute for Brain and Neural SystemsBrown University
Original Papers

DOI: 10.1007/BF00206710

Cite this article as:
Shouval, H. & Cooper, L.N. Biol. Cybern. (1996) 74: 439. doi:10.1007/BF00206710

Abstract

In this paper we address the question of how interactions affect the formation and organization of receptive fields in a network composed of interacting neurons with Hebbian-type learning. We show how to partially decouple single cell effects from network effects, and how some phenomenological models can be seen as approximations to these learning networks. We show that the interaction affects the structure of receptive fields. We also demonstrate how the organization of different receptive fields across the cortex is influenced by the interaction term, and that the type of singularities depends on the symmetries of the receptive fields.

Copyright information

© Springer-Verlag 1996