Literature DB >> 19404466

Fixing the location and dimensions of functional neocortical columns.

Henry Markram1.   

Abstract

The quest to understand the way in which neurons interconnect to form circuits that function as a unit began when Ramon y Cajal concluded that axo-dendritic apposition were too conspicuous to be incidental and proposed that two neurons must be communicating through these points of contact (see Shepherd and Erulkar, 1997, Trends Neurosci., 20, 385-392). Lorente de Nó was probably the first to predict that a defined group of vertically displaced neurons in the neocortex could form functional units (Lorente de Nó, 1938, Physiology of the Nervous System, 20, OUP: 291-330) for which Mountcastle found experimental evidence (see Mountcastle, 1997, Brain, 120, 701-722) and which was ultimately demonstrated by Hubel and Wiesel in their elegant discovery of the orientation selective columns (Hubel and Wiesel, 1959, J. Physiol., 148, 574-591). Until today, however, it is still not clear what shapes functional columns. Anatomical units, as in the barrel cortex, would make it easier to explain, but the neocortex is largely a continuous slab of closely packed neurons from which multiple modules emerge that can overlap partially or even completely on the same anatomical space. Are the columns in fixed anatomical locations or are they dynamically assigned and what anatomical and physiological properties are operating to shape their dimensions? A recent study explores how the geometry of single neurons places structural constraints on the dimensions of columns in the visual cortex (Stepanyants et al., 2008, Cereb Cortex, 18, 13-24).

Year:  2008        PMID: 19404466      PMCID: PMC2645561          DOI: 10.2976/1.2919545

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  19 in total

1.  Experience-dependent plasticity of dendritic spines in the developing rat barrel cortex in vivo.

Authors:  B Lendvai; E A Stern; B Chen; K Svoboda
Journal:  Nature       Date:  2000-04-20       Impact factor: 49.962

2.  A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex.

Authors:  B Hellwig
Journal:  Biol Cybern       Date:  2000-02       Impact factor: 2.086

3.  Geometry and structural plasticity of synaptic connectivity.

Authors:  Armen Stepanyants; Patrick R Hof; Dmitri B Chklovskii
Journal:  Neuron       Date:  2002-04-11       Impact factor: 17.173

4.  Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex.

Authors:  Joshua T Trachtenberg; Brian E Chen; Graham W Knott; Guoping Feng; Joshua R Sanes; Egbert Welker; Karel Svoboda
Journal:  Nature       Date:  2002 Dec 19-26       Impact factor: 49.962

5.  The neocortical microcircuit as a tabula rasa.

Authors:  Nir Kalisman; Gilad Silberberg; Henry Markram
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-03       Impact factor: 11.205

6.  Geometric and functional organization of cortical circuits.

Authors:  Gordon M G Shepherd; Armen Stepanyants; Ingrid Bureau; Dmitri Chklovskii; Karel Svoboda
Journal:  Nat Neurosci       Date:  2005-05-08       Impact factor: 24.884

Review 7.  Dendritic spine plasticity: looking beyond development.

Authors:  Kimberly J Harms; Anna Dunaevsky
Journal:  Brain Res       Date:  2006-04-05       Impact factor: 3.252

8.  Spontaneous and evoked synaptic rewiring in the neonatal neocortex.

Authors:  Jean-Vincent Le Bé; Henry Markram
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-21       Impact factor: 11.205

9.  Deriving physical connectivity from neuronal morphology.

Authors:  Nir Kalisman; Gilad Silberberg; Henry Markram
Journal:  Biol Cybern       Date:  2003-03       Impact factor: 2.086

10.  Local potential connectivity in cat primary visual cortex.

Authors:  Armen Stepanyants; Judith A Hirsch; Luis M Martinez; Zoltán F Kisvárday; Alex S Ferecskó; Dmitri B Chklovskii
Journal:  Cereb Cortex       Date:  2007-04-09       Impact factor: 5.357

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  5 in total

1.  Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections.

Authors:  Srikanth Ramaswamy; Sean L Hill; James G King; Felix Schürmann; Yun Wang; Henry Markram
Journal:  J Physiol       Date:  2011-11-14       Impact factor: 5.182

2.  What's black and white about the grey matter?

Authors:  Rodney J Douglas; Kevan A C Martin
Journal:  Neuroinformatics       Date:  2011-09

3.  Clustering of large cell populations: method and application to the basal forebrain cholinergic system.

Authors:  Zoltan Nadasdy; Peter Varsanyi; Laszlo Zaborszky
Journal:  J Neurosci Methods       Date:  2010-04-14       Impact factor: 2.390

4.  Five points on columns.

Authors:  Kathleen S Rockland
Journal:  Front Neuroanat       Date:  2010-06-09       Impact factor: 3.856

5.  Radial columns in cortical architecture: it is the composition that counts.

Authors:  Edward G Jones; Pasko Rakic
Journal:  Cereb Cortex       Date:  2010-07-28       Impact factor: 5.357

  5 in total

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