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Stable propagation of synchronous spiking in cortical neural networks.
Diesmann M, Gewaltig MO, Aertsen A.
Department of Neurobiology and Biophysics, Institute of Biology III, Albert-Ludwigs-University, Frieburg, Germany.
The
classical view of neural coding has emphasized the importance of
information carried by the rate at which neurons discharge action
potentials. More recent proposals that information may be carried by
precise spike timing have been challenged by the assumption that these
neurons operate in a noisy fashion--presumably reflecting fluctuations
in synaptic input and, thus, incapable of transmitting signals with
millisecond fidelity. Here we show that precisely synchronized action
potentials can propagate within a model of cortical network activity
that recapitulates many of the features of biological systems. An
attractor, yielding a stable spiking precision in the (sub)millisecond
range, governs the dynamics of synchronization. Our results indicate
that a combinatorial neural code, based on rapid associations of groups
of neurons co-ordinating their activity at the single spike level, is
possible within a cortical-like network.
PMID: 10591212 [PubMed - indexed for MEDLINE]
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