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Updated: May 15, 2026

Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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Information-theoretic and physical constraints on advanced neural signal decoding.

Enzhuo Zhang1, Syed Ishtiaque Ahmed2

  • 1University of Toronto Scarborough, Toronto, ON, Canada.

Frontiers in Systems Neuroscience
|May 14, 2026
PubMed
Summary

This review explores if quantum mechanics principles could constrain neural information decoding beyond classical neuroscience models. It identifies theoretical challenges and conceptual boundaries for non-classical approaches to brain signal analysis.

Keywords:
information theoryneural signal decodingphysical constraintsquantum-inspired frameworkstheoretical neuroscience

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Area of Science:

  • Neuroscience
  • Quantum Biology
  • Information Theory

Background:

  • Conventional neuroscience explains neural signaling via classical electrochemical processes.
  • Theoretical literature speculates quantum-mechanical concepts may offer new perspectives on neural observability limits.
  • Research interest is growing in non-classical physical principles potentially constraining neural information decoding.

Purpose of the Study:

  • To critically review theoretical proposals at the intersection of neuroscience, quantum biology, and information theory.
  • To examine conceptual motivations and physical constraints for non-classical neural decoding.
  • To identify open questions and conceptual boundaries for evaluating speculative non-classical frameworks.

Main Methods:

  • Integrative review of theoretical literature.
  • Examination of conceptual motivations and physical constraints (decoherence, thermal noise, complexity).
  • Analysis of challenges in extending classical neural decoding to non-classical regimes.

Main Results:

  • Identified key physical constraints and theoretical challenges in non-classical neural decoding.
  • Highlighted conceptual boundaries and potential misinterpretations in speculative frameworks.
  • Clarified conditions for meaningful evaluation of non-classical approaches to neural signal decoding.

Conclusions:

  • Non-classical approaches to neural signal decoding require careful evaluation against empirical evidence.
  • Further research must address conceptual boundaries and methodological limitations.
  • Ethical considerations are crucial when exploring speculative frameworks in neuroscience.