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Título : Zero-lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying
Autor : Vicente, Raúl; Pipa, Gordon; Fischer, Ingo ; Mirasso, Claudio R.
Palabras clave : Zero-Lag Synchronization
Neuronal model
Synchronized dynamical states
Dynamical relaying
Fecha de publicación : 21-jun-2007
Editor: Springer
Citación : Lecture Notes in Computer Science 4688, 904-913 (2007)
Resumen: How can two distant neural assemblies synchronize their firings at zero-lag even in the presence of non-negligible delays in the transfer of information between them? Here we propose a simple network module that naturally accounts for zero-lag neural synchronization for a wide range of temporal delays. In particular, we demonstrate that isochronous (without lag) millisecond precise synchronization between two distant neurons or neural populations can be achieved by relaying their dynamics via a third mediating single neuron or population.
Descripción : Also published by Springer as chapter of the book "Artificial Neural Networks – ICANN 2007" (ISBN 978-3-540-74689-8), Proceedings of the 17th International Conference ICANN 2007, Porto, Portugal, September 9-13, 2007.-- Final full-text of the paper available at: http://dx.doi.org/10.1007/978-3-540-74690-4.
URI : http://hdl.handle.net/10261/6119
DOI: 10.1007/978-3-540-74690-4
ISBN : 978-3-540-74689-8
ISSN: 0302-9743 (Print)
1611-3349 (Online)
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