Overlapping cell assemblies from correlators.

Huyck, Christian R. ORCID logoORCID: https://orcid.org/0000-0003-4015-3549 (2004) Overlapping cell assemblies from correlators. Neural Computing Letters, 56 . pp. 435-439. ISSN 0925-2312 [Article] (doi:10.1016/j.neucom.2003.08.003)

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This paper introduces compensatory learning and shows how it can lead to the formation of Cell Assemblies (CAs) that share neurons. The work starts with standard Hebbian learning then adds a compensatory modifier that forces the total synaptic weight leaving a neuron toward a constant. This enables overlapping CAs because neurons that are in multiple categories have reduced weight stopping Assemblies merging. This provides a biologically plausible learning rule that eases the ability of CAs to overlap. A more complex CA system based on this work, is being developed as part of a current EPSRC grant (EP/D059720/1).

Item Type: Article
Additional Information: Awaiting copyright clearance checking. JCA. 3.3.09.
Keywords (uncontrolled): Neural networks. Cell assemblies.
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
ISI Impact: 8
Item ID: 1
Useful Links:
Depositing User: Mrs Sue Black
Date Deposited: 21 Aug 2008 16:12
Last Modified: 30 Nov 2022 02:30
URI: https://eprints.mdx.ac.uk/id/eprint/1

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