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

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 ca...

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Autores principales:	Dániel Czégel, Hamza Giaffar, Márton Csillag, Bálint Futó, Eörs Szathmáry
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/995c9ef45e754f91ab278c6102843e98
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spelling	oai:doaj.org-article:995c9ef45e754f91ab278c6102843e982021-12-02T17:41:33ZNovelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems10.1038/s41598-021-91489-52045-2322https://doaj.org/article/995c9ef45e754f91ab278c6102843e982021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91489-5https://doaj.org/toc/2045-2322Abstract 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.Dániel CzégelHamza GiaffarMárton CsillagBálint FutóEörs SzathmáryNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dániel Czégel Hamza Giaffar Márton Csillag Bálint Futó Eörs Szathmáry Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
description	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.
format	article
author	Dániel Czégel Hamza Giaffar Márton Csillag Bálint Futó Eörs Szathmáry
author_facet	Dániel Czégel Hamza Giaffar Márton Csillag Bálint Futó Eörs Szathmáry
author_sort	Dániel Czégel
title	Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
title_short	Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
title_full	Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
title_fullStr	Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
title_full_unstemmed	Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems
title_sort	novelty and imitation within the brain: a darwinian neurodynamic approach to combinatorial problems
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/995c9ef45e754f91ab278c6102843e98
work_keys_str_mv	AT danielczegel noveltyandimitationwithinthebrainadarwinianneurodynamicapproachtocombinatorialproblems AT hamzagiaffar noveltyandimitationwithinthebrainadarwinianneurodynamicapproachtocombinatorialproblems AT martoncsillag noveltyandimitationwithinthebrainadarwinianneurodynamicapproachtocombinatorialproblems AT balintfuto noveltyandimitationwithinthebrainadarwinianneurodynamicapproachtocombinatorialproblems AT eorsszathmary noveltyandimitationwithinthebrainadarwinianneurodynamicapproachtocombinatorialproblems
_version_	1718379660078743552

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

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