V K Jirsa (2004)
Connectivity and dynamics of neural information processing
NEUROINFORMATICS 2(2):183–204.
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
qualitively. 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.,