Network Modularity as a Foundation for Neural Reuse.
The neural reuse framework developed primarily by Michael Anderson proposes that brain regions are involved in multiple and diverse cognitive tasks and that brain regions flexibly and dynamically interact in different combinations to carry out cognitive functioning. We argue that the evidence cited...
| Publicado en: | Philosophy of Science Vol. 86; no. 1; pp. 23 - 47 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Cambridge University Press
Jan2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=134147252&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 134147252 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Jan2019 vid: 86 iid: 1 pid: 15979 pub: Cambridge University Press artinfo: ui: 134147252 10.1086/701037 ppf: 23 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 386KB tig: atl: Network Modularity as a Foundation for Neural Reuse. aug: au: Stanley, Matthew L. Gessell, Bryce De Brigard, Felipe su: Functional magnetic resonance imaging Neural circuitry Cognitive ability Brain imaging Neurons sug: subj: Functional magnetic resonance imaging Neural circuitry Cognitive ability Brain imaging Neurons ab: The neural reuse framework developed primarily by Michael Anderson proposes that brain regions are involved in multiple and diverse cognitive tasks and that brain regions flexibly and dynamically interact in different combinations to carry out cognitive functioning. We argue that the evidence cited by Anderson and others falls short of supporting the fundamental principles of neural reuse. We map out this problem and provide solutions by drawing on recent advances in network neuroscience, and we argue that methods employed in network neuroscience provide the means to fully engage in a research program operating under the principles of neural reuse. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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