Literature DB >> 15046882

Coding and transmission of information by neural ensembles.

Bruno B Averbeck1, Daeyeol Lee.   

Abstract

The brain processes information about sensory stimuli and motor intentions using a massive ensemble of neurons arrayed in parallel. Individual neurons receive convergent inputs from thousands of other neurons, leading to the possibility that patterns of spikes across the input neurons might be crucial components of the neural code. Recently, advances in multielectrode recording techniques have allowed several laboratories to investigate the nature of the interactions between neurons, and their potential role in information coding. Several recent studies have found that the amount of information coded by correlated activity about sensory and motor variables is small, casting doubt on the hypothesis that correlations between pairs of neurons are important for information coding. However, other studies have documented the appearance of coherent oscillations, during particular task epochs and conditions that require selective processing of sensory information, supporting the hypothesis that coherent oscillations between neurons might reflect the dynamic flow of information in the brain.

Mesh:

Year:  2004        PMID: 15046882     DOI: 10.1016/j.tins.2004.02.006

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  57 in total

1.  Emergence of invariant representation of vocalizations in the auditory cortex.

Authors:  Isaac M Carruthers; Diego A Laplagne; Andrew Jaegle; John J Briguglio; Laetitia Mwilambwe-Tshilobo; Ryan G Natan; Maria N Geffen
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

2.  Connected corticospinal sites show enhanced tuning similarity at the onset of voluntary action.

Authors:  Yuval Yanai; Nofya Adamit; Ran Harel; Zvi Israel; Yifat Prut
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

3.  Asynchronous decoding of dexterous finger movements using M1 neurons.

Authors:  Vikram Aggarwal; Soumyadipta Acharya; Francesco Tenore; Hyun-Chool Shin; Ralph Etienne-Cummings; Marc H Schieber; Nitish V Thakor
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-02       Impact factor: 3.802

4.  Population coding by electrosensory neurons.

Authors:  Maurice J Chacron; Joseph Bastian
Journal:  J Neurophysiol       Date:  2008-02-06       Impact factor: 2.714

5.  Order-dependent modulation of directional signals in the supplementary and presupplementary motor areas.

Authors:  Jeong-Woo Sohn; Daeyeol Lee
Journal:  J Neurosci       Date:  2007-12-12       Impact factor: 6.167

Review 6.  Spatiotemporal scales and links between electrical neuroimaging modalities.

Authors:  Sara L Gonzalez Andino; Stephen Perrig; Rolando Grave de Peralta Menendez
Journal:  Med Biol Eng Comput       Date:  2011-04-12       Impact factor: 2.602

7.  Sparse low-order interaction network underlies a highly correlated and learnable neural population code.

Authors:  Elad Ganmor; Ronen Segev; Elad Schneidman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-20       Impact factor: 11.205

8.  Desynchronization of fast-spiking interneurons reduces β-band oscillations and imbalance in firing in the dopamine-depleted striatum.

Authors:  Sriraman Damodaran; John R Cressman; Zbigniew Jedrzejewski-Szmek; Kim T Blackwell
Journal:  J Neurosci       Date:  2015-01-21       Impact factor: 6.167

9.  On the similarity of functional connectivity between neurons estimated across timescales.

Authors:  Ian H Stevenson; Konrad P Körding
Journal:  PLoS One       Date:  2010-02-18       Impact factor: 3.240

10.  Innate recognition of pheromone and food odors in moths: a common mechanism in the antennal lobe?

Authors:  Joshua P Martin; John G Hildebrand
Journal:  Front Behav Neurosci       Date:  2010-09-24       Impact factor: 3.558

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