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. 1994 Oct 11;91(21):10104–10108. doi: 10.1073/pnas.91.21.10104

Non-Hebbian properties of long-term potentiation enable high-capacity encoding of temporal sequences.

R Granger 1, J Whitson 1, J Larson 1, G Lynch 1
PMCID: PMC44966  PMID: 7937845

Abstract

A hypothesis commonly found in biological and computational studies of synaptic plasticity embodies a version of the 1949 postulate of Hebb that coactivity of pre- and postsynaptic elements results in increased efficacy of their synaptic contacts. This general proposal presaged the identification of the first and still only known long-lasting synaptic plasticity mechanism, long-term potentiation (LTP). Yet the detailed physiology of LTP induction and expression differs in many specifics from Hebb's rule. Incorporation of these physiological LTP constraints into a simple non-Hebbian network model enabled development of "sequence detectors" that respond preferentially to the sequences on which they were trained. The network was found to have unexpected capacity (e.g., 50 x 10(6) random sequences in a network of 10(5) cells), which scales linearly with network size, thereby addressing the question of memory capacity in brain circuitry of realistic size.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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