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Neural codes - Necessary but not sufficient for understanding brain function.

Simon R Schultz1, Giuseppe P Gava1

  • 1Department of Bioengineering and Centre for Neurotechnology, Imperial College London, LondonSW7 2AZ, United Kingdom. s.schultz@imperial.ac.ukgiuseppe.gava12@imperial.ac.uk.

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Understanding how brains process information requires information theory. Representing external signals in the brain is key to applying engineering tools for analyzing neural circuits during behavior.

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Area of Science:

  • Neuroscience
  • Information Theory
  • Computational Neuroscience

Background:

  • Brains function as complex information processing systems.
  • Understanding neural operational principles necessitates an information-theoretic approach.

Purpose of the Study:

  • To establish the representation of external signals in the brain as a foundational step.
  • To enable the application of engineering tools like control theory for analyzing brain function.

Main Methods:

  • Conceptual framework integrating information theory and neuroscience.
  • Analysis of signal representation within neural circuits.

Main Results:

  • Information theory provides essential principles for understanding brain function.
  • Characterizing external signal representation is crucial for further analysis.

Conclusions:

  • A robust understanding of neural information processing requires integrating information theory.
  • Investigating signal representation is a necessary precursor to employing advanced engineering tools for studying brain circuits and behavior.