Literature DB >> 10541056

How do cell assemblies encode information in the brain?

Y Sakurai1.   

Abstract

The present review discusses why cell-assembly coding, i.e. ensemble coding by functionally connected neurons, is a tenable view of the brain's neuronal code and how it operates in the working brain. The cell-assembly coding has two major properties, i.e., partial overlapping of neurons among assemblies and connection dynamics within and among the assemblies. The former is the ability of one neuron to participate in different types of information processing. The latter is the capability for functional synaptic connections, detected by activity correlations of the neurons, to change among different types of information processing. An example of a series of experiments which detected these two major properties is then given. Several relevant points concerning the detection of the actual dynamics of cell-assembly coding are also enumerated. They include the dependence of the type of cell-assembly coding on types of information-processing in different structures of the brain, sparse coding by distributed overlapped assemblies, and coincidence detection as a role of individual neurons to bind distributed neurons into cell assemblies.

Mesh:

Year:  1999        PMID: 10541056     DOI: 10.1016/s0149-7634(99)00017-2

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  29 in total

1.  Working memory for temporal and nontemporal events in monkeys.

Authors:  Y Sakurai
Journal:  Learn Mem       Date:  2001 Nov-Dec       Impact factor: 2.460

2.  Coding of efferent signals in monkey neostriatum.

Authors:  B F Tolkunov; S V Afanas'ev; A A Orlov; E V Filatova
Journal:  Dokl Biol Sci       Date:  2002 Nov-Dec

3.  Behavior-reactive neuron populations in the monkey neostriatum.

Authors:  B F Tolkunov; A A Orlov; S V Afanas'ev; E V Filatova
Journal:  Neurosci Behav Physiol       Date:  2004-03

4.  Dynamic synchrony of firing in the monkey prefrontal cortex during working-memory tasks.

Authors:  Yoshio Sakurai; Susumu Takahashi
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

5.  Electrophysiological and structural alterations in striatum associated with behavioral sensitization to (±)3,4-methylenedioxymethamphetamine (Ecstasy) in rats: role of drug context.

Authors:  K T Ball; C L Wellman; B R Miller; G V Rebec
Journal:  Neuroscience       Date:  2010-09-25       Impact factor: 3.590

6.  Transient neuronal correlations underlying goal selection and maintenance in prefrontal cortex.

Authors:  Satoshi Tsujimoto; Aldo Genovesio; Steven P Wise
Journal:  Cereb Cortex       Date:  2008-03-20       Impact factor: 5.357

7.  Behavior-related neuron reactions and the dynamics of neuronal activity.

Authors:  B F Tolkunov
Journal:  Neurosci Behav Physiol       Date:  2008-12-17

8.  Organization of interneuronal connections in the nucleus accumbens in "impulsive" and "self-controlled" behavior in cats.

Authors:  E P Kuleshova; E E Dolbakyan; G A Grigor'yan; G Kh Merzhanova
Journal:  Neurosci Behav Physiol       Date:  2009-04-02

9.  Successful choice behavior is associated with distinct and coherent network states in anterior cingulate cortex.

Authors:  Christopher C Lapish; Daniel Durstewitz; L Judson Chandler; Jeremy K Seamans
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-15       Impact factor: 11.205

10.  Dysregulated information processing by medium spiny neurons in striatum of freely behaving mouse models of Huntington's disease.

Authors:  Benjamin R Miller; Adam G Walker; Anand S Shah; Scott J Barton; George V Rebec
Journal:  J Neurophysiol       Date:  2008-07-30       Impact factor: 2.714

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