Literature DB >> 14722353

Global optimization of cerebral cortex layout.

Christopher Cherniak1, Zekeria Mokhtarzada, Raul Rodriguez-Esteban, Kelly Changizi.   

Abstract

Functional areas of mammalian cerebral cortex seem positioned to minimize costs of their interconnections, down to a best-in-a-billion optimality level. The optimization problem here, originating in microcircuit design, is: Given connections among components, what is the physical placement of the components on a surface that minimizes total length of connections? Because of unfeasibility of measuring long-range "wire length" in the cortex, a simpler adjacency cost was validated. To deal with incomplete information on brain networks, a size law was developed that predicts optimization patterns in subnetworks. Macaque and cat cortex rank better in this connection optimization than the wiring of comparably structured computer chips, but somewhat worse than the macroeconomic commodity-flow network among U.S. states. However, cortex wiring conforms to the size law better than the macroeconomic patterns, which may indicate cortex optimizing mechanisms involve more global processes.

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Year:  2004        PMID: 14722353      PMCID: PMC327154          DOI: 10.1073/pnas.0305212101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

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Review 6.  Neural component placement.

Authors:  C Cherniak
Journal:  Trends Neurosci       Date:  1995-12       Impact factor: 13.837

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Authors:  J W Scannell
Journal:  Nature       Date:  1997-04-03       Impact factor: 49.962

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Authors:  J W Scannell; C Blakemore; M P Young
Journal:  J Neurosci       Date:  1995-02       Impact factor: 6.167

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Authors:  C Cherniak
Journal:  J Neurosci       Date:  1994-04       Impact factor: 6.167

10.  The human transcriptome map: clustering of highly expressed genes in chromosomal domains.

Authors:  H Caron; B van Schaik ; M van der Mee ; F Baas; G Riggins; P van Sluis ; M C Hermus; R van Asperen ; K Boon; P A Voûte; S Heisterkamp; A van Kampen ; R Versteeg
Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

  10 in total
  46 in total

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Journal:  Nat Rev Neurosci       Date:  2012-04-13       Impact factor: 34.870

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Journal:  Neuroinformatics       Date:  2011-03

3.  Xenacoelomorpha: a case of independent nervous system centralization?

Authors:  Brenda Gavilán; Elena Perea-Atienza; Pedro Martínez
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-01-05       Impact factor: 6.237

4.  The anatomical distance of functional connections predicts brain network topology in health and schizophrenia.

Authors:  Aaron F Alexander-Bloch; Petra E Vértes; Reva Stidd; François Lalonde; Liv Clasen; Judith Rapoport; Jay Giedd; Edward T Bullmore; Nitin Gogtay
Journal:  Cereb Cortex       Date:  2012-01-23       Impact factor: 5.357

5.  Geometric constraints on neuronal connectivity facilitate a concise synaptic adhesive code.

Authors:  Shalev Itzkovitz; Leehod Baruch; Ehud Shapiro; Eran Segal
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-26       Impact factor: 11.205

6.  Are the Gödel incompleteness theorems limitative results for the neurosciences?

Authors:  Jeff Buechner
Journal:  J Biol Phys       Date:  2010-01       Impact factor: 1.365

7.  Information processing limits on generating neuroanatomy: global optimization of rat olfactory cortex and amygdala.

Authors:  Christopher Cherniak; Raul Rodriguez-Esteban
Journal:  J Biol Phys       Date:  2010-01       Impact factor: 1.365

Review 8.  Cortical high-density counterstream architectures.

Authors:  Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy; Nikola T Markov; Mária Ercsey-Ravasz; David C Van Essen
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

9.  A predictive network model of cerebral cortical connectivity based on a distance rule.

Authors:  Mária Ercsey-Ravasz; Nikola T Markov; Camille Lamy; David C Van Essen; Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy
Journal:  Neuron       Date:  2013-10-02       Impact factor: 17.173

10.  What is the optimal value of the g-ratio for myelinated fibers in the rat CNS? A theoretical approach.

Authors:  Taylor Chomiak; Bin Hu
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

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