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Modeling the evolution of sensitive periods

In the past decade, there has been monumental progress in our understanding of the neurobiological basis of sensitive periods. Little is known, however, about the evolution of sensitive periods. Recent studies have started to address this gap. Biologists have built mathematical models exploring the...

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Detalles Bibliográficos
Autores principales: Frankenhuis, Willem E., Walasek, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994616/
https://www.ncbi.nlm.nih.gov/pubmed/31999568
http://dx.doi.org/10.1016/j.dcn.2019.100715
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author Frankenhuis, Willem E.
Walasek, Nicole
author_facet Frankenhuis, Willem E.
Walasek, Nicole
author_sort Frankenhuis, Willem E.
collection PubMed
description In the past decade, there has been monumental progress in our understanding of the neurobiological basis of sensitive periods. Little is known, however, about the evolution of sensitive periods. Recent studies have started to address this gap. Biologists have built mathematical models exploring the environmental conditions in which sensitive periods are likely to evolve. These models investigate how mechanisms of plasticity can respond optimally to experience during an individual’s lifetime. This paper discusses the central tenets, insights, and predictions of these models, in relation to empirical work on humans and other animals. We also discuss which future models are needed to improve the bridge between theory and data, advancing their synergy. Our paper is written in an accessible manner and for a broad audience. We hope our work will contribute to recently emerging connections between the fields of developmental neuroscience and evolutionary biology.
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spelling pubmed-69946162020-02-04 Modeling the evolution of sensitive periods Frankenhuis, Willem E. Walasek, Nicole Dev Cogn Neurosci Articles from the Special Issue on Flux 2018: Mechanisms of Learning & Plasticity; Edited by Catherine Hartley, Yana Fandakova, Silvia Bunge, Eveline Crone, Ulman Lindenberger. In the past decade, there has been monumental progress in our understanding of the neurobiological basis of sensitive periods. Little is known, however, about the evolution of sensitive periods. Recent studies have started to address this gap. Biologists have built mathematical models exploring the environmental conditions in which sensitive periods are likely to evolve. These models investigate how mechanisms of plasticity can respond optimally to experience during an individual’s lifetime. This paper discusses the central tenets, insights, and predictions of these models, in relation to empirical work on humans and other animals. We also discuss which future models are needed to improve the bridge between theory and data, advancing their synergy. Our paper is written in an accessible manner and for a broad audience. We hope our work will contribute to recently emerging connections between the fields of developmental neuroscience and evolutionary biology. Elsevier 2019-11-12 /pmc/articles/PMC6994616/ /pubmed/31999568 http://dx.doi.org/10.1016/j.dcn.2019.100715 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles from the Special Issue on Flux 2018: Mechanisms of Learning & Plasticity; Edited by Catherine Hartley, Yana Fandakova, Silvia Bunge, Eveline Crone, Ulman Lindenberger.
Frankenhuis, Willem E.
Walasek, Nicole
Modeling the evolution of sensitive periods
title Modeling the evolution of sensitive periods
title_full Modeling the evolution of sensitive periods
title_fullStr Modeling the evolution of sensitive periods
title_full_unstemmed Modeling the evolution of sensitive periods
title_short Modeling the evolution of sensitive periods
title_sort modeling the evolution of sensitive periods
topic Articles from the Special Issue on Flux 2018: Mechanisms of Learning & Plasticity; Edited by Catherine Hartley, Yana Fandakova, Silvia Bunge, Eveline Crone, Ulman Lindenberger.
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994616/
https://www.ncbi.nlm.nih.gov/pubmed/31999568
http://dx.doi.org/10.1016/j.dcn.2019.100715
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