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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • The prevailing view suggests prediction error minimization is the primary objective of the cortex.
  • Subtractive coding has been proposed as a mechanism for neural computation.
  • Evidence for subtractive coding remains unconvincing to the authors.

Purpose of the Study:

  • To propose prediction success maximization as a fundamental objective of cognition and the cortex.
  • To differentiate this objective from prediction error minimization.
  • To present neurobiological evidence supporting signal amplification over subtractive coding.

Main Methods:

  • Review of existing neurobiological evidence.
  • Outline of recent intracellular discoveries regarding pyramidal cell function.
  • Analysis of signal transmission and amplification mechanisms in neurons.

Main Results:

  • Prediction success maximization is presented as a core cognitive objective, distinct from prediction error minimization.
  • Neither objective necessitates subtractive coding.
  • Pyramidal cells amplify signals based on cooperative, context-sensitive dendritic input, specifically when excitatory inputs align.

Conclusions:

  • The mammalian neocortex's cognitive capabilities are significantly enhanced by cellular cooperative context-sensitivity.
  • The findings challenge the necessity of subtractive coding in neural computation.
  • Further research is needed on the evolution, development, and pathology of this mechanism.