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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
208

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Updated: Jun 3, 2025

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Computational complexity as a potential limitation on brain-behaviour mapping.

Ayberk Ozkirli1, Michael H Herzog1, Maya A Jastrzębowska2

  • 1Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

The European Journal of Neuroscience
|January 8, 2025
PubMed
Summary
This summary is machine-generated.

Mapping behavior to brain measures is challenging. Methodological, conceptual, and complexity barriers often prevent robust brain-behavior mappings, suggesting reduction may be impossible in some scientific domains.

Keywords:
brain–behaviour mappingcognitive ontologycomputational complexitylocalisationismneural degeneracy

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Area of Science:

  • Neuroscience
  • Vision Science
  • Philosophy of Science

Background:

  • Special sciences often use reductionism, explaining phenomena with lower-level scientific concepts.
  • Behavioral vision science uses psychometric functions (e.g., Weber-Fechner law) for contrast perception.
  • Neuroscience aims to map behavioral measures (psychometric functions) to neural activity (neurometric functions).

Purpose of the Study:

  • To investigate the difficulties in establishing robust brain-behavior mappings.
  • To explore reasons why the lack of brain-behavior mappings is common.
  • To examine the role of complexity barriers in limiting scientific reduction.

Main Methods:

  • Review of methodological and conceptual challenges in brain-behavior mapping.
  • Theoretical extension of previous work on complexity barriers.
  • Analysis of the implications for reductionism in science.

Main Results:

  • Identified significant methodological and conceptual obstacles to brain-behavior mapping.
  • Demonstrated that complexity barriers can fundamentally limit the ability to map behavior to neural measures.
  • Argued that such limitations are a rule rather than an exception in neuroscience.

Conclusions:

  • Robust brain-behavior mappings are frequently absent due to inherent scientific challenges.
  • Complexity barriers may render reduction impossible between certain scientific domains.
  • The findings challenge the universal applicability of reductionism in explaining complex phenomena.