, Volume 2, Issue 2, pp 183204
Connectivity and dynamics of neural information processing
 Viktor K. JirsaAffiliated withCenter for Complex Systems and Brain Sciences, Physics Department, Florida Atlantic University
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In this article, we systematically review the current literature on neural connectivity and dynamics, or equivalently, structure and function. In particular, we discuss how changes in the connectivity of a neural network affect the spatiotemporal network dynamics qualitatively. The three major criteria of comparison are, first, the local dynamics at the network nodes which includes fixed point dynamics, oscillatory and chaotic dynamics; second, the presence of time delays via propagation along connecting pathways; and third, the properties of the connectivity matrix such as its statistics, symmetry, and translational invariance. Since the connection topology changes when anatomical scales are traversed, so will the corresponding network dynamics change. As a consequence different types of networks are encountered on different levels of neural organization.
Index Entries
Neural networks dynamics connectivity time delay synchronization stability Title
 Connectivity and dynamics of neural information processing
 Journal

Neuroinformatics
Volume 2, Issue 2 , pp 183204
 Cover Date
 200406
 DOI
 10.1385/NI:2:2:183
 Print ISSN
 15392791
 Online ISSN
 15590089
 Publisher
 Humana Press
 Additional Links
 Topics
 Keywords

 Neural networks
 dynamics
 connectivity
 time delay
 synchronization
 stability
 Authors

 Viktor K. Jirsa ^{(1)}
 Author Affiliations

 1. Center for Complex Systems and Brain Sciences, Physics Department, Florida Atlantic University, 33431, Boca Raton, FL