Models of cell assembly decay

Conference paper


Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946
TypeConference paper
TitleModels of cell assembly decay
AuthorsPassmore, P. and Huyck, C.
Abstract

Hebb considered the cell assembly to represent a concept in the brain and thus to be an underlying construct of human thought. He proposed that the cell assembly is a connected group of neurons whose pattern of firing is such that a reverberatory activity persists after the removal of a stimulus. Once a cell assembly is activated something must eventually cause it to decay. Clearly thoughts have to be extinguished to make way for others, the question is how. Various suggestions have been made concerning mechanisms that could cause an assembly to decay in the long term including inhibition by other assemblies and passive fatigue. In this paper two classes of models are used to implement this decay, the first is based on building cell assemblies with specific weights and connections that have a linear decay. The second class is based on manipulating variables within a cell assembly model, creating long term fatigue or activation decay. This class of models may be more biologically plausible than the first, and can produce the expected temporal dynamics in the presence of an ambiguous stimulus. However neither class can yet produce the correct prolongation of activation when the stimulus is re-presented.

Research GroupArtificial Intelligence group
Page range1-6
PublisherInstitute of Electrical and Electronics Engineers
Publication dates
Print2008
Publication process dates
Deposited16 Mar 2010
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/UKRICIS.2008.4798946
LanguageEnglish
Book titleCybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference.
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Zhang, Y., Passmore, P. and Bayford, R. 2005. Visualization and post-processing of 5D Brain Images. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Shanghai, China 01 - 04 Sep 2005 IEEE. pp. 1083-1086 https://doi.org/10.1109/IEMBS.2005.1616607
Information retrieval and categorisation using a cell assembly network
Huyck, C. and Orengo, V. 2005. Information retrieval and categorisation using a cell assembly network. Neural Computing and Applications. 14 (4), pp. 282-289. https://doi.org/10.1007/s00521-004-0464-6
Overlapping cell assemblies from correlators
Huyck, C. 2004. Overlapping cell assemblies from correlators. Neural Computing Letters. 56, pp. 435-439. https://doi.org/10.1016/j.neucom.2003.08.003