Spontaneous activity in biological neural networks shows patterns of dynamic synchronization. We propose that these patterns support the formation of a small-world structure—network connectivity optimal for distributed information processing. We present numerical simulations with connected Hindmarsh–Rose neurons in which, starting from random connection distributions, small-world networks evolve as a result of applying an adaptive rewiring rule. The rule connects pairs of neurons that tend fire in synchrony, and disconnects ones that fail to synchronize. Repeated application of the rule leads to smallworld structures. This mechanism is robustly observed for bursting and irregular firing regimes.

Robust emergence of small-world structure in networks of spiking neurons / Hoi Fei, Kwok; Peter, Jurica; Raffone, Antonino; C., Van Leeuwen. - In: COGNITIVE NEURODYNAMICS. - ISSN 1871-4080. - STAMPA. - 1:1(2007), pp. 39-51. [10.1007/s11571-006-9006-5]

Robust emergence of small-world structure in networks of spiking neurons

RAFFONE, Antonino;
2007

Abstract

Spontaneous activity in biological neural networks shows patterns of dynamic synchronization. We propose that these patterns support the formation of a small-world structure—network connectivity optimal for distributed information processing. We present numerical simulations with connected Hindmarsh–Rose neurons in which, starting from random connection distributions, small-world networks evolve as a result of applying an adaptive rewiring rule. The rule connects pairs of neurons that tend fire in synchrony, and disconnects ones that fail to synchronize. Repeated application of the rule leads to smallworld structures. This mechanism is robustly observed for bursting and irregular firing regimes.
2007
modularity; neural network; self-organization; spiking neuron
01 Pubblicazione su rivista::01a Articolo in rivista
Robust emergence of small-world structure in networks of spiking neurons / Hoi Fei, Kwok; Peter, Jurica; Raffone, Antonino; C., Van Leeuwen. - In: COGNITIVE NEURODYNAMICS. - ISSN 1871-4080. - STAMPA. - 1:1(2007), pp. 39-51. [10.1007/s11571-006-9006-5]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/138499
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