Microscopic computation in human brain evolution.
The writer discusses the evolution of microscopic computation from theoretical and empirical standpoints. A microscopic neurological model stressing the computational power of excited atoms within the neuronal membrane is advanced as an alternative to classical connectionist approaches. The evolut...
| Publicado en: | Behavioral Science Vol. 40; pp. 133 - 159 |
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| Formato: | Artículo |
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John Wiley & Sons, Inc.
April 1995
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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=ssf&AN=510129147&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510129147 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00057940 BHV jtl: Behavioral Science issn: 00057940 maglogo: N pubinfo: dt: April 1995 vid: 40 pid: 62151 pub: John Wiley & Sons, Inc. artinfo: ui: 510129147 10.1002/bs.3830400204 ppf: 133 ppct: 26 formats: fmt: @attributes: type: T tig: atl: Microscopic computation in human brain evolution. aug: au: Wallace, Ron su: Brain evolution Neural circuitry sug: subj: Brain evolution Neural circuitry ab: The writer discusses the evolution of microscopic computation from theoretical and empirical standpoints. A microscopic neurological model stressing the computational power of excited atoms within the neuronal membrane is advanced as an alternative to classical connectionist approaches. The evolution of the system and its relation to local optima or very good solutions are examined in the context of social and mapping requirements of a competitive hunting and scavenging niche. The relationship of microscopic computation to the nature of consciousness is discussed, and possible mathematical models as a basis for simulation studies are briefly considered. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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