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).
Awaiting copyright clearance checking. JCA. 3.3.09.
|Keywords (uncontrolled):||Neural networks. Cell assemblies.|
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer Science|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
|Citations on ISI Web of Science:||8|
|Deposited On:||21 Aug 2008 16:12|
|Last Modified:||30 Oct 2014 04:24|
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