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Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory

Lansner, Anders (author)
KTH,Numerisk analys och datalogi, NADA
Fransén, Erik, 1962- (author)
KTH,Numerisk analys och datalogi, NADA
Sandberg, Anders (author)
KTH,Numerisk analys och datalogi, NADA
 (creator_code:org_t)
Springer Science and Business Media LLC, 2003
2003
English.
In: Theory in biosciences. - : Springer Science and Business Media LLC. - 1431-7613 .- 1611-7530. ; 122:1, s. 19-36
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • During the last few decades we have seen a convergence among ideas and hypotheses regarding functional principles underlying human memory. Hebb's now more than fifty years old conjecture concerning synaptic plasticity and cell assemblies, formalized mathematically as attractor neural networks, has remained among the most viable and productive theoretical frameworks. It suggests plausible explanations for Gestalt aspects of active memory like perceptual completion, reconstruction and rivalry. We review the biological plausibility of these theories and discuss some critical issues concerning their associative memory functionality in the light of simulation studies of models with palimpsest memory properties. The focus is on memory properties and dynamics of networks modularized in terms of cortical minicolumns and hypercolumns. Biophysical compartmental models demonstrate attractor dynamics that support cell assembly operations with fast convergence and low firing rates. Using a scaling model we obtain reasonable relative connection densities and amplitudes. An abstract attractor network model reproduces systems level psychological phenomena seen in human memory experiments as the Sternberg and von Restorff effects. We conclude that there is today considerable substance in Hebb's theory of cell assemblies and its attractor network formulations, and that they have contributed to increasing our understanding of cortical associative memory function. The criticism raised with regard to biological and psychological plausibility as well as low storage capacity, slow retrieval etc has largely been disproved. Rather, this paradigm has gained further support from new experimental data as well as computational modeling.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Neurosciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Keyword

biophysical compartmental neuron model
hypercolumns
minicolumns
forgetting
incremental learning
reaction time
visual-cortex
neural-network
neurons
patterns
cat
synapses
columns
monkey
rates

Publication and Content Type

ref (subject category)
art (subject category)

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By the author/editor
Lansner, Anders
Fransén, Erik, 1 ...
Sandberg, Anders
About the subject
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Neurosciences
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Bioinformatics
Articles in the publication
Theory in biosci ...
By the university
Royal Institute of Technology

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