Recovery of computation capability for neural networks from damaged states using self-organized criticality

Abstract

It is critical for biological neural networks to recover their functions when some neurons of networks are damaged by lesion or aging. Self-organized criticality which induced neuronal avalanche whose distribution of size following a power-law [1] provides computational optimality to neural networks [2]. We show that the criticality of neural networks, an… (More)
DOI: 10.1186/1471-2202-11-S1-P30

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