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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