Neural network model with rhythm-assimilation capacity
IEEE Transactions on Systems, Man and Cybernetics
Learning of phase lags in coupled neural oscillators
Neural Computation
Weakly connected neural networks
Weakly connected neural networks
Dynamics of neural networks with a central element
Neural Networks
Synchronized action of synaptically coupled chaotic model neurons
Neural Computation
Towards Novel Neuroscience-Inspired Computing
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
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The paper considers computational models of spatio-temporal patterns of neural activity to check hypotheses about the role of synchronisation, temporal and phase relations in information processing. Three sections of the paper are devoted, respectively, to the neuronal coding; to the study of phase relations of oscillatory activity in neural assemblies; and to synchronisation based models of attention.