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Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints.

Oscar Arias-Carrión, Emmanuel Ortega-Robles, Elías Manjarrez

Brain Sci March 31, 2026 DOI: 10.3390/brainsci16040386 via PubMed Central

Summary

AI-generated from the abstract

Consciousness poses a puzzle: unified experience arises from distributed brain activity. Classical neuroscience explains synaptic and network mechanisms, but debates continue over whether quantum principles are needed. This review examines quantum ideas in two ways: as mathematical models for context-dependent cognition and as hypotheses about real quantum states in the brain. It surveys evidence from MRI signals, learning models, and proposed neural substrates like microtubules and nuclear spins. No study has yet demonstrated entanglement or long-lived coherence in neural tissue under standard quantum criteria. Replication is limited, and classical dynamics can mimic quantum signatures. The key question is whether brain dynamics exceed classical models. Progress requires precise tests to distinguish quantum correlations from classical complexity.

Study at a glance

Characteristics Review Peer reviewed
Key finding No study has demonstrated entanglement, long-lived coherence, or collapse dynamics in neural tissue under operational criteria comparable to those used in controlled quantum systems.

Abstract

Consciousness presents a structural puzzle: a unified, context-sensitive, globally integrated mode of experience emerging from distributed neural dynamics. While classical neuroscience has mapped synaptic, oscillatory, and network-level mechanisms with increasing precision, debate persists as to whether classical formalisms fully capture the integrative and contextual features of conscious processing. This review examines whether quantum principles offer explanatory leverage in two distinct senses: as formal mathematical frameworks for modeling contextual cognition, and as mechanistic hypotheses proposing biologically instantiated non-classical states. We surveyed empirical and theoretical developments spanning zero-quantum-coherence in MRI signals, entanglement-structured learning paradigms, quantum-inspired computational models, and proposed neural substrates, including microtubules, nuclear spins, and photonic architectures. Although certain findings have been interpreted as consistent with a non-classical structure, no study to date has demonstrated entanglement, long-lived coherence, or collapse dynamics in neural tissue under operational criteria comparable to those used in controlled quantum systems. Replication remains limited, biological entanglement witnesses are not yet established, and nonlinear classical dynamics can reproduce many putative quantum signatures. Accordingly, the decisive question is not whether the brain is quantum, but whether its dynamics exceed the explanatory reach of rigorously defined classical models. Progress hinges on replication, adversarial scrutiny, and operational criteria precise enough to discriminate genuine non-classical correlations from classical complexity. Whether quantum mechanisms ultimately prove necessary or refined classical models remain sufficient, this inquiry compels a deeper understanding of integration, contextuality, and the physical constraints shaping conscious experience.

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