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Related Experiment Videos

Rapid adaptation and efficient coding.

Lars Schwabe1, Klaus Obermayer

  • 1Department of Computer Science and Electrical Engineering, Technische Universitat Berlin, Franklin Str. 28/29, 10587 Berlin, Germany. schwabe@cs.tu-berlin.de

Bio Systems
|December 3, 2002
PubMed
Summary
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Biological neuronal systems rapidly adapt. This study redefines neuronal coding optimality to explain rapid adaptation, suggesting neural interactions adapt within a single stimulus presentation, not just to changing environments.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Biological neuronal systems exhibit rapid adaptation, altering input-output relations.
  • This adaptation is often functionally interpreted as a response to changing environmental stimulus statistics.

Purpose of the Study:

  • To propose a new definition of neuronal coding optimality.
  • To explain rapid neuronal adaptation without invoking environmental changes.
  • To investigate adaptation in the primary visual cortex.

Main Methods:

  • Developed a novel definition of neuronal coding optimality.
  • Applied the new framework to a model of orientation hypercolumns in the primary visual cortex.

Main Results:

Related Experiment Videos

  • The new definition explains rapid adaptation independent of stimulus statistics.
  • Predicted that neural interactions within orientation columns adapt rapidly.

Conclusions:

  • Rapid adaptation in neuronal systems can be explained by a new coding optimality principle.
  • Neural interactions in the visual cortex adapt on the timescale of single stimulus presentations.