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Brains as Computers: Metaphor, Analogy, Theory or Fact?

期刊

FRONTIERS IN ECOLOGY AND EVOLUTION
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fevo.2022.878729

关键词

brain-computer metaphor; algorithms; programs; philosophy; metaphors

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资金

  1. Agence Nationale de la Recherche [ANR-20-CE30-0025-01, ANR-21-CE16-0013-02]
  2. Programme Investissements d'Avenir IHU FOReSIGHT [ANR-18-IAHU-01]
  3. Fondation Pour l'Audition [FPA RD-2017-2]
  4. Agence Nationale de la Recherche (ANR) [ANR-21-CE16-0013, ANR-20-CE30-0025] Funding Source: Agence Nationale de la Recherche (ANR)

向作者/读者索取更多资源

This article discusses the analogy and metaphor of the brain and computer, highlighting their ambiguity and misleading nature. The brain-computer metaphor promises to bridge the gap between physiology and psychology, but it overlooks the naturalistic theory of cognition by importing computer terms into the realm of the brain.
Whether electronic, analog or quantum, a computer is a programmable machine. Wilder Penfield held that the brain is literally a computer, because he was a dualist: the mind programs the brain. If this type of dualism is rejected, then identifying the brain to a computer requires defining what a brain program might mean and who gets to program the brain. If the brain programs itself when it learns, then this is a metaphor. If evolution programs the brain, then this is a metaphor. Indeed, in the neuroscience literature, the brain-computer is typically not used as an analogy, i.e., as an explicit comparison, but metaphorically, by importing terms from the field of computers into neuroscientific discourse: we assert that brains compute the location of sounds, we wonder how perceptual algorithms are implemented in the brain. Considerable difficulties arise when attempting to give a precise biological description of these terms, which is the sign that we are indeed dealing with a metaphor. Metaphors can be both useful and misleading. The appeal of the brain-computer metaphor is that it promises to bridge physiological and mental domains. But it is misleading because the basis of this promise is that computer terms are themselves imported from the mental domain (calculation, memory, information). In other words, the brain-computer metaphor offers a reductionist view of cognition (all cognition is calculation) rather than a naturalistic theory of cognition, hidden behind a metaphoric blanket.

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