Computational complexity as a potential limitation on brain-behaviour mapping

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.