Brain, In Theory

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A01=Romain Brette
adaptive systems
anti-reductionism
artificial intelligence
artificial intelligence critique
Author_Romain Brette
biological cognition
biological computation
biological design
biological foundations
biological intelligence
biological modeling
biological processes
biological realism
biological systems
brain as computer
brain function
brain organization
brain theory
Category=PDA
Category=PS
Category=PSAN
Category=QDTM
cognitive architecture
cognitive biology
cognitive processes
cognitive science
community of entities
complex systems
computation
computational brain
computational neuroscience
computationalism
computer metaphor
consciousness
Darwin
deep learning
development
embodied cognition
emergence
engineering metaphors
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
eq_science
evolution
evolutionary biology
information
information processing
interdisciplinary approach
life and cognition
living organisms
living systems
machine metaphor
mechanistic view
mental phenomena
mind-brain relationship
natural cognition
natural selection
neural development
neural models
neural networks
neural representations
neuroscience
optimization
organic computation
philosophy of mind
prediction
predictive processing
purposiveness
representations
reverse-engineering
Romain Brette
scientific methodology
self-organization
teleology
theoretical critique
theoretical frameworks
theoretical neuroscience
vitalism

Product details

  • ISBN 9780691281384
  • Dimensions: 156 x 235mm
  • Publication Date: 07 Apr 2026
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
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Why engineering and computational analogies are poorly suited to the study of biological cognition

Mainstream theories of the brain are often expressed through engineering concepts—computation, code, control, reverse-engineering, optimization. These theories cast the living organism as a machine and the brain as a computer. The fact that cognition is a biological phenomenon seems merely anecdotal; biology is considered just “implementation.” In The Brain, In Theory, Romain Brette argues that the brain is not a “biological computer” because living organisms are not engineered. Engineering is the use of knowledge to solve technical problems, to build an artifact with a plan. But, Brette reminds us, Darwin’s insight is precisely that evolution is not a case of engineering. Unlike engineering, evolution has no predetermined goals, plans, or knowledge.

Brette reviews the main theoretical frameworks for thinking about the brain, including computation, neural representations, information, and prediction, and finds them poorly suited to the study of biological cognition. He proposes understanding the brain as a self-organized, developing community of living entities rather than an optimized assembly of machine components. With this new perspective, Brette brings life back to the study of the brain and cognition.

Romain Brette is a neuroscientist at the Institute of Intelligent Systems and Robotics, Paris. He has worked on neuronal biophysics, neuroinformatics, auditory neuroscience, philosophy of neuroscience, and recently on the behavior and physiology of protists.

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