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Neural architectures in the light of comparative connectomics

Since the Cambrian, animals diversified from a few body forms or bauplans, into many extinct and all extant species. A characteristic neural architecture serves each bauplan. How the connectome of each animal differs from that of closely related species or whether it converged into an optimal archit...

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Detalles Bibliográficos
Autores principales: Barsotti, Elizabeth, Correia, Ana, Cardona, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Current Biology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694100/
https://www.ncbi.nlm.nih.gov/pubmed/34837731
http://dx.doi.org/10.1016/j.conb.2021.10.006
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author Barsotti, Elizabeth
Correia, Ana
Cardona, Albert
author_facet Barsotti, Elizabeth
Correia, Ana
Cardona, Albert
author_sort Barsotti, Elizabeth
collection PubMed
description Since the Cambrian, animals diversified from a few body forms or bauplans, into many extinct and all extant species. A characteristic neural architecture serves each bauplan. How the connectome of each animal differs from that of closely related species or whether it converged into an optimal architecture shared with more distant ones is unknown. Recent technological innovations in molecular biology, microscopy, digital data storage and processing, and computational neuroscience have lowered the barriers for whole-brain connectomics. Comparative connectomics of suitable, relatively small, representative species across the phylogenetic tree can infer the archetypal neural architecture of each bauplan and identify any circuits that possibly converged onto a shared and potentially optimal, structure.
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spelling pubmed-86941002022-01-04 Neural architectures in the light of comparative connectomics Barsotti, Elizabeth Correia, Ana Cardona, Albert Curr Opin Neurobiol Article Since the Cambrian, animals diversified from a few body forms or bauplans, into many extinct and all extant species. A characteristic neural architecture serves each bauplan. How the connectome of each animal differs from that of closely related species or whether it converged into an optimal architecture shared with more distant ones is unknown. Recent technological innovations in molecular biology, microscopy, digital data storage and processing, and computational neuroscience have lowered the barriers for whole-brain connectomics. Comparative connectomics of suitable, relatively small, representative species across the phylogenetic tree can infer the archetypal neural architecture of each bauplan and identify any circuits that possibly converged onto a shared and potentially optimal, structure. Current Biology 2021-12 /pmc/articles/PMC8694100/ /pubmed/34837731 http://dx.doi.org/10.1016/j.conb.2021.10.006 Text en © 2021 MRC Laboratory of Molecular Biology https://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 Article
Barsotti, Elizabeth
Correia, Ana
Cardona, Albert
Neural architectures in the light of comparative connectomics
title Neural architectures in the light of comparative connectomics
title_full Neural architectures in the light of comparative connectomics
title_fullStr Neural architectures in the light of comparative connectomics
title_full_unstemmed Neural architectures in the light of comparative connectomics
title_short Neural architectures in the light of comparative connectomics
title_sort neural architectures in the light of comparative connectomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694100/
https://www.ncbi.nlm.nih.gov/pubmed/34837731
http://dx.doi.org/10.1016/j.conb.2021.10.006
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