High-Degree Neurons Feed Cortical Computations-Reference-Cited by-同舟云学术

High-Degree Neurons Feed Cortical Computations

Published:2016-05-09 Issue:5 Volume:12 Page:e1004858
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Timme Nicholas M.,Ito Shinya,Myroshnychenko Maxym^ORCID,Nigam Sunny^ORCID,Shimono Masanori,Yeh Fang-Chin,Hottowy Pawel^ORCID,Litke Alan M.,Beggs John M.

Funder

National Science Foundation

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference127 articles.

1. Functional and effective connectivity: a review;KJ Friston;Brain Connectivity,2011

2. Complex brain networks: graph theoretical analysis of structural and function systems;E Bullmore;Nature Reviews Neuroscience,2009

3. Nonnegative decomposition of multivariate information;PL Williams,2010

4. Generalized measures of information transfer;PL Williams,2011

5. Bits from brains for biologically inspired computing;M Wibral;Frontiers in Robotics and AI,2014

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