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Propagation of synchronous spiking activity in feedforward neural networks.
Aertsen A, Diesmann M, Gewaltig MO.
Department of Neurobiology and Biophysics, Albert-Ludwigs-University, Freiburg, Germany.
'Synfire'
activity has been proposed as a model for the experimentally observed
accurate spike patterns in cortical activity. We investigated the
structural and dynamical aspects of this theory. To quantify the degree
of synchrony in neural activity, we introduced the concept of 'pulse
packets'. This enabled us to derive a novel neural transmission
function which was used to assess the role of the single neuron
dynamics and to characterize the stability conditions for propagating
synfire activity. Thus, we could demonstrate that the cortical network
is able to sustain synchronous spiking activity using local feedforward
(synfire) connections. This new approach opens the way for a
quantitative description of neural network dynamics, and enables us to
test the synfire hypothesis on physiological data.
Publication Types:
PMID: 9116676 [PubMed - indexed for MEDLINE]
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