NEXT TUES (5/2): Bruce McNaughton on Neural Networks for Spacial Representation in Hippocampus
Mark Gluck
netlist at psych.Stanford.EDU
Thu Apr 27 11:50:49 EDT 1989
Stanford University Interdisciplinary Colloquium Series:
Adaptive Networks and their Applications
May 2nd (Tuesday, 3:30pm):
Room 380-380C
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Hebb-Steinbuch-Marr Networks and the Role of Movement in Hippocampal
Representations of Spatial Relations
Bruce L. McNaughton
Dept. of Psychology
University of Colorado
Campus Box 345
Boulder, CO 80309
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Abstract
Over 15 years ago, Marr proposed models for associative learning and
pattern completion in specific brain regions. These models incorporated
Hebb's postulate, the "learning matrix" concept of Steinbuch, recurrent
excitation, and the assumptions that a few excitatory synapses are
disproportionately powerful, and that inhibitory synapses divide
postsynaptic excitation by the total input. These ideas provide a basis for
understanding much of the circuitry and physiology of the hippocampus, and
will be used to suggest how spatial relationships are coded there by forming
conditional associations between location and movement representations
originating in the inferotemporal and parietal cortical systems respectively.
References:
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McNaughton, B. L. & Morris R.G.M. (1988). Hippocampal synaptic enhancement and
information storage within a distributed memory system. Trends in Neurosci.
10:408-415.
McNaughton, B. L. & Nadel, L. (in press, 1989). Hebb-Marr networks and
the neurobiological representation of action in space. To appear in
M. Gluck & D. Rumelhart (Eds.), Neuroscience and Connectionist
Models, Erlbaum: Hillsdale, NJ
Additional Information:
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Location: Room 380-380C, which can be reached through the lower level
between the Psychology and Mathematical Sciences buildings.
Level: Technically oriented for persons working in related areas.
Mailing lists: To be added to the network mailing list, netmail to
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For additional information, contact Mark Gluck (gluck at psych.stanford.edu).
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