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On embedding synfire chains in a balanced network.
Aviel Y, Mehring C, Abeles M, Horn D.
Interdisciplinary Center for Neural Computation, Hebrew University, Jerusalem, Israel. email@example.com
investigate the formation of synfire waves in a balanced network of
integrate-and-fire neurons. The synaptic connectivity of this network
embodies synfire chains within a sparse random connectivity. This
network can exhibit global oscillations but can also operate in an
asynchronous activity mode. We analyze the correlations of two neurons
in a pool as convenient indicators for the state of the network. We
find, using different models, that these indicators depend on a scaling
variable. Beyond a critical point, strong correlations and large
network oscillations are obtained. We looked for the conditions under
which a synfire wave could be propagated on top of an otherwise
asynchronous state of the network. This condition was found to be
highly restrictive, requiring a large number of neurons for its
implementation in our network. The results are based on analytic
derivations and simulations.
PMID: 12816575 [PubMed - indexed for MEDLINE]