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Toward computational neuroconstructivism: a framework for developmental systems neuroscience.
Astle, Duncan E; Johnson, Mark H; Akarca, Danyal.
Afiliación
  • Astle DE; Department of Psychiatry, University of Cambridge, Cambridge, CB2 2QQ, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK. Electronic address: Duncan.Astle@mrc-cbu.cam.ac.uk.
  • Johnson MH; Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK; Centre for Brain and Cognitive Development, Birkbeck, University of London, London, WC1E 7JL, UK.
  • Akarca D; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK.
Trends Cogn Sci ; 27(8): 726-744, 2023 08.
Article en En | MEDLINE | ID: mdl-37263856
Brain development is underpinned by complex interactions between neural assemblies, driving structural and functional change. This neuroconstructivism (the notion that neural functions are shaped by these interactions) is core to some developmental theories. However, due to their complexity, understanding underlying developmental mechanisms is challenging. Elsewhere in neurobiology, a computational revolution has shown that mathematical models of hidden biological mechanisms can bridge observations with theory building. Can we build a similar computational framework yielding mechanistic insights for brain development? Here, we outline the conceptual and technical challenges of addressing this theory gap, and demonstrate that there is great potential in specifying brain development as mathematically defined processes operating within physical constraints. We provide examples, alongside broader ingredients needed, as the field explores computational explanations of system-wide development.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Neurociencias Límite: Humans Idioma: En Revista: Trends Cogn Sci Asunto de la revista: PSICOLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Neurociencias Límite: Humans Idioma: En Revista: Trends Cogn Sci Asunto de la revista: PSICOLOGIA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido