Human performance is unambiguously reducible to brain activity
Whether human performance can be fully reduced to brain activity remains heavily debated, with neuroimaging and computational models highlighting strong brain-behavior links, while philosophical and systems-level frameworks argue that cognition encompasses embodied, environmental, and cultural factors.
The retrieved literature contains a mix of perspectives. While papers like [0] and [4] use machine learning and neuroimaging to successfully predict behavior from brain activity, papers like [1], [5], and [8] explicitly caution against excessive reductionism, pointing out the measurement problems of reducing intentionality solely to neural quantities and emphasizing the role of the body, environment, and culture in human performance. Thus, the claim is contested rather than unambiguously supported.
G. Varoquaux, R. Poldrack. Predictive models avoid excessive reductionism in cognitive neuroimaging.. 2019. https://doi.org/10.1016/j.conb.2018.11.002
Predictive models successfully bridge behavior and neural activity to generalize brain-mind associations.
Agustín Ibáñez, Morten L. Kringelbach, G. Deco. A synergetic turn in cognitive neuroscience of brain diseases. 2024. https://doi.org/10.1016/j.tics.2023.12.006
A synergetics framework highlights the necessity of incorporating body-environment interactions rather than looking at the brain in isolation.
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Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang. Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks. 2025. https://doi.org/10.3390/brainsci15030277
Transformers and fMRI analysis demonstrate that brain activation patterns can effectively evaluate working memory tasks and cognitive performance.
Froese T. Quantifying What Is Efficacious Yet Not Observable: Cognitive Neuroscience's Measurement Problem Has a Solution.. 2026. https://doi.org/10.1111/cogs.70170
Intentional mental efficacy cannot be fully reduced to sub-personal neural quantities without losing its purpose-driven character.
G. Nixon. Scientism, Philosophy and Brain-Based Learning. 2013. https://doi.org/10.15760/NWJTE.2013.11.1.7
Identifying the person solely with their brain is an oversimplified reductionist view, as learning and behavior are embodied and cultural.
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