Literature DB >> 9578434

The search for cell assemblies in the working brain.

Y Sakurai1.   

Abstract

This paper discusses why population ensemble coding by multiple neurons is a tenable view of the brain's basic neuronal code. The discussion is based on features of neuronal activity in working brains of behaving animals. The key concept to elucidate population ensemble coding is the 'cell assembly', i.e. overlapped populations of neurons with flexible functional connections within and among the populations. Recent examples of experimental approaches which indicate the cell-assembly coding of memory in the working brain are given. These experiments used a strategy that reveals two main properties of cell assemblies; the overlapping of neurons and the dynamic changes of synaptic connections in processing different kinds of memory. Several possible features of cell-assembly coding that might be explored in future experimental research are enumerated.

Mesh:

Year:  1998        PMID: 9578434     DOI: 10.1016/s0166-4328(97)00106-x

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  7 in total

1.  Sequential rearrangements of the ensemble activity of putamen neurons in the monkey brain as a correlate of continuous behavior.

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

2.  Bilateral ablation of auditory cortex in Mongolian gerbil affects discrimination of frequency modulated tones but not of pure tones.

Authors:  F W Ohl; W Wetzel; T Wagner; A Rech; H Scheich
Journal:  Learn Mem       Date:  1999 Jul-Aug       Impact factor: 2.460

3.  CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains.

Authors:  Benjamin Staude; Stefan Rotter; Sonja Grün
Journal:  J Comput Neurosci       Date:  2009-10-28       Impact factor: 1.621

4.  Spike-timing theory of working memory.

Authors:  Botond Szatmáry; Eugene M Izhikevich
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

5.  Hyper-brain networks support romantic kissing in humans.

Authors:  Viktor Müller; Ulman Lindenberger
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

6.  Sparse distributed memory: understanding the speed and robustness of expert memory.

Authors:  Marcelo S Brogliato; Daniel M Chada; Alexandre Linhares
Journal:  Front Hum Neurosci       Date:  2014-04-28       Impact factor: 3.169

7.  Neuronal Assemblies Evidence Distributed Interactions within a Tactile Discrimination Task in Rats.

Authors:  Camila S Deolindo; Ana C B Kunicki; Maria I da Silva; Fabrício Lima Brasil; Renan C Moioli
Journal:  Front Neural Circuits       Date:  2018-01-11       Impact factor: 3.492

  7 in total

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