scholarly article | Q13442814 |
P50 | author | Jürgen Kurths | Q13376139 |
P2093 | author name string | Nariman Mahdavi | |
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Interactions of neural networks: models for distraction and concentration | Q33792612 | ||
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Oscillations and chaos in neural networks: an exactly solvable model | Q33919895 | ||
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Self-organization in a parametrically coupled logistic map network: a model for information processing in the visual cortex | Q48711355 | ||
Brain functions and neural dynamics | Q48950089 | ||
Onset of synchronization in weighted scale-free networks. | Q51843602 | ||
Connectionist networks learn to transmit chaos. | Q52250367 | ||
Dynamics of neural structures | Q53011755 | ||
Evidence for chaos in spike trains of neurons that generate rhythmic motor patterns | Q68011837 | ||
Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators | Q80602290 | ||
A transient-chaotic autoassociative network (TCAN) based on Lee oscillators | Q80602308 | ||
Dynamical weights and enhanced synchronization in adaptive complex networks | Q83375489 | ||
P433 | issue | 2 | |
P304 | page(s) | 151-156 | |
P577 | publication date | 2013-06-11 | |
P1433 | published in | Cognitive Neurodynamics | Q15757583 |
P1476 | title | Synchrony based learning rule of Hopfield like chaotic neural networks with desirable structure | |
P478 | volume | 8 |