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Science 16 March 1990:
Vol. 247. no. 4948, pp. 1344 - 1348
DOI: 10.1126/science.2315702
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Articles

Science, Vol 247, Issue 4948, 1344-1348
Copyright © 1990 by American Association for the Advancement of Science

articles

Simulation of paleocortex performs hierarchical clustering

J Ambros-Ingerson, R Granger, and G Lynch

Center for the Neurobiology of Learning and Memory, University of California, Irvine 92717.

Simulations were performed of layers I and II of olfactory paleocortex, as connected to its primary input structure, olfactory bulb. Induction of synaptic long-term potentiation by means of repetitive sampling of inputs caused the simulation to organize encodings of learned cues into a hierarchical memory that uncovered statistical relationships in the cue environment, corresponding to the performance of hierarchical clustering by the biological network. Simplification led to characterization of those parts of the network responsible for the mechanism, resulting in a novel, efficient algorithm for hierarchical clustering. The hypothesis is put forward that these corticobulbar networks and circuitry of similar design in other brain regions contain computational elements sufficient to construct perceptual hierarchies for use in recognizing environmental cues.


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Science. ISSN 0036-8075 (print), 1095-9203 (online)