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  Reconstruction of an average cortical column in silico

Helmstaedter, M., de Kock, C., Feldmeyer, D., Bruno, R. M., & Sakmann, B. (2007). Reconstruction of an average cortical column in silico. Brain Research Reviews, 55(2), 193-203. doi:10.1016/j.brainresrev.2007.07.011.

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Genre: Journal Article
Alternative Title : Reconstruction of an average cortical column in silico

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BrainResRev_55_2007_193.pdf (Any fulltext), 2MB
 
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 Creators:
Helmstaedter, Moritz1, 2, Author           
de Kock, Christiaan2, Author           
Feldmeyer, Dirk2, Author           
Bruno, Randy M.2, Author           
Sakmann, Bert2, Author           
Affiliations:
1Department of Biomedical Optics, Max Planck Institute for Medical Research, Max Planck Society, ou_1497699              
2Department of Cell Physiology, Max Planck Institute for Medical Research, Max Planck Society, ou_1497701              

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Free keywords: Local circuits; Barrel cortex; Anatomical reconstruction; Behaviour; Decision making
 Abstract: The characterization of individual neurons by Golgi and Cajal has been the basis of neuroanatomy for a century. A new challenge is to anatomically describe, at cellular resolution, complete local circuits that can drive behavior. In this essay, we review the possibilities to obtain a model cortical column by using in vitro and in vivo pair recordings, followed by anatomical reconstructions of the projecting and target cells. These pairs establish connection modules that eventually may be useful to synthesize an average cortical column in silico. Together with data on sensory evoked neuronal activity measured in vivo, this will allow to model the anatomical and functional cellular basis of behavior based on more realistic assumptions than previously attempted.

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Language(s): eng - English
 Dates: 20072007-07-062007-08-082007-10-02
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
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Title: Brain Research Reviews
  Other : Brain Res. Rev.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 55 (2) Sequence Number: - Start / End Page: 193 - 203 Identifier: ISSN: 0165-0173
CoNE: https://pure.mpg.de/cone/journals/resource/954925480592