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Editorial: Quantum and quantum-like effects across neuroscience

Michael C. Wiest, Daya Shankar Gupta

Frontiers in Human Neuroscience, 2026

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Abstract

Editorial: Quantum and quantum-like effects across neuroscience, volume 1.For about thirty years now a growing literature has applied quantum probability theory to successfully describe a wide range of statistical question-answering phenomena in psychology that appear irrational from a classical perspective (1,2,3,4,5,6,7,8,9,10,11).In the present volume, (12) presents a systematic motivation for applying a quantum-like (QL) statistical framework to model human behavior "beyond individual cognition," at the level of networks of reasoning individuals and social institutions. That study also provides a generic task-independent decomposition of QL effects into several clearly delineated phenomena whose experimental signatures can be compared across domains such as psychology, political science, sociology, and neuroscience. This paper can also function as a concise introduction to QL modelling of cognition, with concrete examples showing how human choice behaviors treated as errors or ad hoc special cases under a classical formalism, can be understood as systematic context-sensitivity under a QL model.(13) in the present volume uses a comparable approach to interpret public data pertaining to the effectiveness of teams, arguing that the QL description reveals performance gains from allowing "interdependence" among team members, that are obscured under a purely classical model. Interdependence here can be understood as an aspect of the context-sensitivity inherent in QL…

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