Author

Eörs Szathmáry

Eötvös Loránd UniversityORCID 0000-0001-5227-2997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2

Frequent Co-Authors

András SzilágyiiD· 1 shared Bálint Futó· 1 shared Dániel CzégeliD· 1 shared Hamza Giaffar· 1 shared Márton CsillagiD· 1 shared Mátyás PaczkóiD· 1 shared

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2020-2024 · peak 1/yr

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6 top collaborators · 7 mutual co-author links

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1 shared paperEvolutionary Biology

András SzilágyiORCID

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2 papers

Recent·Most cited

Evolutionary BiologyeLifePeer-reviewedJan 10, 2024

Stochastic parabolic growth promotes coexistence and a relaxed error threshold in RNA-like replicator populations

Mátyás Paczkó, Eörs Szathmáry, András Szilágyi

This study shows that stochastic parabolic growth in RNA-like replicator populations promotes coexistence and reduces the error threshold, supporting diversity maintenance in early evolutionary systems.

4 citations

statistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintNov 6, 2020

Darwinian dynamics over recurrent neural computations for combinatorial problem solving

Dániel Czégel, Hamza Giaffar, Márton Csillag…·Eörs Szathmáry

The paper proposes a Darwinian process over reservoir computing units to solve combinatorial problems, showing how neural dynamics can enable efficient evolutionary search.

DOI 10.1101/2020.11.06.372284

statistical model

𝕏 PostBluesky