Complex computation from developmental priors.
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ABSTRACT:
SUBMITTER: Barabasi DL
PROVIDER: S-EPMC10115783 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
Publications
Complex computation from developmental priors.
Barabási Dániel L DL Beynon Taliesin T Katona Ádám Á Perez-Nieves Nicolas N
Nature communications 20230419 1
Machine learning (ML) models have long overlooked innateness: how strong pressures for survival lead to the encoding of complex behaviors in the nascent wiring of a brain. Here, we derive a neurodevelopmental encoding of artificial neural networks that considers the weight matrix of a neural network to be emergent from well-studied rules of neuronal compatibility. Rather than updating the network's weights directly, we improve task fitness by updating the neurons' wiring rules, thereby mirroring ...[more]
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