Article

A single dynamical property can account for the capacity to learn, from artificial networks to the mammalian brain

2026-07-10

Abstract excerpt

<h4>SUMMARY STATEMENT</h4> Every brain must adapt to an unpredictable world, yet individuals differ in how readily they learn. Theoretical work suggests that learning is fastest when a system, whether biological or synthetic, is initialized in a state close to instability - i.e., near criticality - because critical dynamics are imbued with a diverse repertoire of patterns and multi-scale correlations. Here, we e...

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Literature Corpus work: 8a9ea9b8-e3a9-5e17-9573-8e6493c6407b
DOI: 10.64898/2026.07.09.737603

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