title: Modeling neocortical areas with a modular neural network.
abstract: The modular organization of neocortex has been speculated to have a role in the operation of memory retrieval. By introducing two modifications in the model considered by O'Kane and Treves (1992a, J. Phys. A: Math. Gen.), we have been able to increase the storage load limit and to destabilize the memory-glass states that marred the memory operation of the original model. The two modifications, a sparse rather than complete activation of cortical modules and a correlation between the patterns of activation and the underlying connectivity, are both consistent with available evidence.
authors.affiliation: SISSA, Cognitive Neuroscience, Trieste, Italy. fulvi@sissa.it
authors.forename: C
authors.initials: C
authors.lastname: Fulvi Mari
authors.forename: A
authors.initials: A
authors.lastname: Treves
mesh_terms: D008568:Memory; D008959:Models, Neurological; D019579:Neocortex / Q000502:physiology*; D009415:Nerve Net