RT Journal Article
ID 39da741e61e8baa9
A1 Kello, Christopher T.
A1 Rodny, Jeffrey 
A1 Warlaumont, Anne S. 
A1 Noelle, David C. 
T1 Plasticity, Learning, and Complexity in Spiking Networks
JF Critical Reviews™ in Biomedical Engineering
JO CRB
YR 2012
FD 2013-01-25
VO 40
IS 6
SP 501
OP 518
K1 Neural dynamics
K1 synaptic mechanisms
K1 scaling laws
K1 critical branching
K1 reinforcement learning,
 selectionist learning
AB Complexity is widespread in neuronal spike trains and propagation of spike activity, in that variations
in measurements of neural activity are irregular, heterogeneous, non-stationary, transient, and scale-free. There are numerous possible reasons for this complexity, and numerous possible consequences for neural and behavioral function. The present review is focused on relationships among neural plasticity, learning, and complex spike dynamics in animal nervous systems, including those of humans. The literature on complex spike dynamics and mechanisms of synaptic plasticity are reviewed for the purpose of considering the roles that each might play for the other. That is, the roles of complex spike dynamics in learning and regulatory functions are considered, as well as the roles of learning
and regulatory functions in generating complex spike dynamics. Experimental and computational studies from a
range of disciplines and perspectives are discussed, and it is concluded that cognitive science and neuroscience have much to gain from investigating the adaptive aspects of complex spike dynamics for neural and cognitive function.
PB Begell House
LK https://www.dl.begellhouse.com/journals/4b27cbfc562e21b8,69b880e9174891c4,39da741e61e8baa9.html