Literature DB >> 22230636

Neural wiring optimization.

Christopher Cherniak1.   

Abstract

Combinatorial network optimization theory concerns minimization of connection costs among interconnected components in systems such as electronic circuits. As an organization principle, similar wiring minimization can be observed at various levels of nervous systems, invertebrate and vertebrate, including primate, from placement of the entire brain in the body down to the subcellular level of neuron arbor geometry. In some cases, the minimization appears either perfect, or as good as can be detected with current methods. One question such best-of-all-possible-brains results raise is, what is the map of such optimization, does it have a distinct neural domain?
Copyright © 2012 Elsevier B.V. All rights reserved.

Mesh:

Year:  2012        PMID: 22230636     DOI: 10.1016/B978-0-444-53860-4.00017-9

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  10 in total

1.  Synaptic circuits and their variations within different columns in the visual system of Drosophila.

Authors:  Shin-ya Takemura; C Shan Xu; Zhiyuan Lu; Patricia K Rivlin; Toufiq Parag; Donald J Olbris; Stephen Plaza; Ting Zhao; William T Katz; Lowell Umayam; Charlotte Weaver; Harald F Hess; Jane Anne Horne; Juan Nunez-Iglesias; Roxanne Aniceto; Lei-Ann Chang; Shirley Lauchie; Ashley Nasca; Omotara Ogundeyi; Christopher Sigmund; Satoko Takemura; Julie Tran; Carlie Langille; Kelsey Le Lacheur; Sari McLin; Aya Shinomiya; Dmitri B Chklovskii; Ian A Meinertzhagen; Louis K Scheffer
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

Review 2.  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

3.  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

Review 4.  Neuronal factors determining high intelligence.

Authors:  Ursula Dicke; Gerhard Roth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-01-05       Impact factor: 6.237

5.  A compact and realistic cerebral cortical layout derived from prewhitened resting-state fMRI time series: Cherniak's adjacency rule, size law, and metamodule grouping upheld.

Authors:  Scott M Lewis; Peka Christova; Trenton A Jerde; Apostolos P Georgopoulos
Journal:  Front Neuroanat       Date:  2012-09-06       Impact factor: 3.856

6.  Neural correlates of visualizations of concrete and abstract words in preschool children: a developmental embodied approach.

Authors:  Amedeo D'Angiulli; Gordon Griffiths; Fernando Marmolejo-Ramos
Journal:  Front Psychol       Date:  2015-06-29

Review 7.  Generative models for network neuroscience: prospects and promise.

Authors:  Richard F Betzel; Danielle S Bassett
Journal:  J R Soc Interface       Date:  2017-11-29       Impact factor: 4.118

Review 8.  Evolution of the human brain: when bigger is better.

Authors:  Michel A Hofman
Journal:  Front Neuroanat       Date:  2014-03-27       Impact factor: 3.856

9.  Spatial Embedding and Wiring Cost Constrain the Functional Layout of the Cortical Network of Rodents and Primates.

Authors:  Szabolcs Horvát; Răzvan Gămănuț; Mária Ercsey-Ravasz; Loïc Magrou; Bianca Gămănuț; David C Van Essen; Andreas Burkhalter; Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy
Journal:  PLoS Biol       Date:  2016-07-21       Impact factor: 8.029

10.  Evaluating Preschool Visual Attentional Selective-Set: Preliminary ERP Modeling and Simulation of Target Enhancement Homology.

Authors:  Amedeo D'Angiulli; Dao Anh Thu Pham; Gerry Leisman; Gary Goldfield
Journal:  Brain Sci       Date:  2020-02-22
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.