Synchrony based learning rule of Hopfield like chaotic neural networks with desirable structure

scientific article published on 11 June 2013

Synchrony based learning rule of Hopfield like chaotic neural networks with desirable structure is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1007/S11571-013-9260-2
P932PMC publication ID3945457
P698PubMed publication ID24624234

P50authorJürgen KurthsQ13376139
P2093author name stringNariman Mahdavi
P2860cites workEmergence of Scaling in Random NetworksQ27037290
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Interactions between neural networks: a mechanism for tuning chaos and oscillationsQ42118817
Self-organization in a parametrically coupled logistic map network: a model for information processing in the visual cortexQ48711355
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Onset of synchronization in weighted scale-free networks.Q51843602
Connectionist networks learn to transmit chaos.Q52250367
Dynamics of neural structuresQ53011755
Evidence for chaos in spike trains of neurons that generate rhythmic motor patternsQ68011837
Grouping synchronization in a pulse-coupled network of chaotic spiking oscillatorsQ80602290
A transient-chaotic autoassociative network (TCAN) based on Lee oscillatorsQ80602308
Dynamical weights and enhanced synchronization in adaptive complex networksQ83375489
P433issue2
P304page(s)151-156
P577publication date2013-06-11
P1433published inCognitive NeurodynamicsQ15757583
P1476titleSynchrony based learning rule of Hopfield like chaotic neural networks with desirable structure
P478volume8