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Neurocomputing
Volumes 32-33, June 2000, Pages 379-384
 
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doi:10.1016/S0925-2312(00)00189-2    
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Copyright © 2000 Published by Elsevier Science B.V. All rights reserved.

Synaptic learning models of map separation in the hippocampus*1

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Mark C. [Reference to Fuhs]Corresponding Author Contact Information and David S. [Reference to Touretzky]

Computer Science Department and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213, USA


Accepted 11 January 2000.
Available online 13 June 2000.

Abstract

When rats trained to forage in one environment are exposed to a second, highly similar environment, their hippocampal place code exhibits a partial remapping in the new environment that becomes more complete with repeated exposures (Shapiro, Tanila, Eichenbaum, Hippocampus 7 (6) (1997) 624–642, Bostock, Muller, Kubie, Hippocampus 1 (2) (1991) 193–206). If the perforant path projection to CA3 functions as a pattern completion mechanism, and the DG projection via the mossy fibers performs pattern separation (O'Reilly, McClelland, Hippocampal conjunctive encoding, storage, and recall: avoiding a trade-off, Hippocampus 4 (6) (1994) 661–682), then partial remapping can be understood as the combined effect of these two projections. We investigated learning rules that could be responsible for the gradual separation of two maps, and found that, while simple Hebbian learning and Hebbian covariance learning would not produce the separation effect, BCM learning was one rule that would.

Author Keywords: Hippocampus; LTP; Cognitive maps; Plasticity

*1 This work was supported by a National Science Foundation Graduate Research Fellowship.

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Neurocomputing
Volumes 32-33, June 2000, Pages 379-384
 
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