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Long-range patterns in Hindmarsh-Rose networks
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文摘

Power-law Long-range interactions are included in a Hindmarsh–Rose neural network.

Modulational instability is addressed both analytically and numerically.

Quasi-periodic states are found for weak long-range coupling.

Disordered and chaotic-like states emerge for strong long-range coupling.

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