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Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems

Czégel, Dániel and Giaffar, Hamza and Csillag, Márton and Futó, Bálint and Szathmáry, Eörs (2021) Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems. SCIENTIFIC REPORTS, 11 (1). ISSN 2045-2322

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Abstract

Efficient search in vast combinatorial spaces, such as those of possible action sequences, linguistic structures, or causal explanations, is an essential component of intelligence. Is there any computational domain that is flexible enough to provide solutions to such diverse problems and can be robustly implemented over neural substrates? Based on previous accounts, we propose that a Darwinian process, operating over sequential cycles of imperfect copying and selection of neural informational patterns, is a promising candidate. Here we implement imperfect information copying through one reservoir computing unit teaching another. Teacher and learner roles are assigned dynamically based on evaluation of the readout signal. We demonstrate that the emerging Darwinian population of readout activity patterns is capable of maintaining and continually improving upon existing solutions over rugged combinatorial reward landscapes. We also demonstrate the existence of a sharp error threshold, a neural noise level beyond which information accumulated by an evolutionary process cannot be maintained. We introduce a novel analysis method, neural phylogenies, that displays the unfolding of the neural-evolutionary process.

Item Type: Article
Subjects: Q Science / természettudomány > QH Natural history / természetrajz > QH359-425 Evolution (Biology) / evolúció
Q Science / természettudomány > QH Natural history / természetrajz > QH540 Ecology / ökológia
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 01 Sep 2021 12:50
Last Modified: 01 Sep 2021 12:50
URI: http://real.mtak.hu/id/eprint/128918

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