Overlapping cell assemblies from correlators.

Huyck, Christian R. (2004) Overlapping cell assemblies from correlators. Neural Computing Letters, 56 . pp. 435-439. ISSN 0925-2312

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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
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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
Citations on ISI Web of Science:8
ID Code:1
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Deposited On:21 Aug 2008 16:12
Last Modified:04 May 2015 08:53

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