Robust emergence of small-world structure in networks of spiking neurons |
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Authors: | Hoi Fei Kwok Peter Jurica Antonino Raffone Cees van Leeuwen |
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Affiliation: | (1) Laboratory for Perceptual Dynamics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan;(2) Department of Psychology, Sunderland University, St Peter’s Campus, Sunderland, SR6 0DD, UK;(3) Present address: University of Birmingham, Birmingham, UK |
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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 small-world structures. This mechanism is robustly observed for bursting and irregular firing regimes. |
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Keywords: | Self-organization Spiking neuron Modularity Neural network |
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