Overlapping cell assemblies from correlators.
Huyck, Christian R. (2004) Overlapping cell assemblies from correlators. Neural Computing Letters, 56 . pp. 435-439. ISSN 0925-2312
- Published version (with publisher's formatting)
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).
|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
|Depositing User:||Mrs Sue Black|
|Date Deposited:||21 Aug 2008 16:12|
|Last Modified:||13 Oct 2016 14:10|
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