Literature DB >> 8158278

Component placement optimization in the brain.

C Cherniak1.   

Abstract

This computational neuroanatomy study evaluates how well some formalisms derived from combinatorial network optimization theory fit as models for brain structure. At multiple hierarchical levels--brain, ganglion, individual cell--physical placement of neural components appears consistent with a single, simple goal: minimize cost of connections among the components. The most dramatic instance of this "save wire" organizing principle is reported for adjacencies among ganglia in the nematode nervous system; among about 40,000,000 alternative layout orderings, the actual ganglion placement in fact requires the least total connection length. In addition, evidence supports a component placement optimization hypothesis for positioning of individual neurons in the nematode, and also for positioning of mammalian cortical areas.

Entities:  

Mesh:

Year:  1994        PMID: 8158278      PMCID: PMC6577144     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  61 in total

1.  Connectivity optimization and the positioning of cortical areas.

Authors:  Vitaly A Klyachko; Charles F Stevens
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-09       Impact factor: 11.205

2.  Global optimization of cerebral cortex layout.

Authors:  Christopher Cherniak; Zekeria Mokhtarzada; Raul Rodriguez-Esteban; Kelly Changizi
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-13       Impact factor: 11.205

3.  Organization of the macaque extrastriate visual cortex re-examined using the principle of spatial continuity of function.

Authors:  T N Aflalo; M S A Graziano
Journal:  J Neurophysiol       Date:  2010-11-10       Impact factor: 2.714

Review 4.  Origin and early evolution of neural circuits for the control of ciliary locomotion.

Authors:  Gáspár Jékely
Journal:  Proc Biol Sci       Date:  2010-12-01       Impact factor: 5.349

5.  Optimizing brain networks topologies using multi-objective evolutionary computation.

Authors:  Roberto Santana; Concha Bielza; Pedro Larrañaga
Journal:  Neuroinformatics       Date:  2011-03

6.  Spatially constrained adaptive rewiring in cortical networks creates spatially modular small world architectures.

Authors:  Nicholas Jarman; Chris Trengove; Erik Steur; Ivan Tyukin; Cees van Leeuwen
Journal:  Cogn Neurodyn       Date:  2014-04-02       Impact factor: 5.082

7.  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

8.  The brainstem reticular formation is a small-world, not scale-free, network.

Authors:  M D Humphries; K Gurney; T J Prescott
Journal:  Proc Biol Sci       Date:  2006-02-22       Impact factor: 5.349

9.  Space-independent community and hub structure of functional brain networks.

Authors:  Farnaz Zamani Esfahlani; Maxwell A Bertolero; Danielle S Bassett; Richard F Betzel
Journal:  Neuroimage       Date:  2020-02-17       Impact factor: 6.556

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.