Information-theoretic and physical constraints on advanced neural signal decoding

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Authors: E Zhang, Syed Ishtiaque Ahmed
Cited by: 1
References: 21

Abstract

Recent interdisciplinary research has raised interest in whether non-classical physical principles may impose fundamental constraints on how neural information can be observed, extracted, or decoded. While conventional neuroscience models neural signaling primarily through classical electrochemical processes, a growing body of theoretical literature has speculated that quantum-mechanical concepts-such as coherence, entanglement, or quantum-inspired information processing-may offer alternative perspectives on the limits of neural observability. This article provides a critical and integrative review of theoretical proposals situated at the intersection of neuroscience, quantum biology, and information theory, without assuming the physical realizability of quantum information processing in biological neural systems. We examine conceptual motivations, key physical constraints (including decoherence, thermal noise, and system complexity), and unresolved theoretical challenges that arise when extending classical neural decoding frameworks toward non-classical regimes. Rather than proposing an experimentally validated mechanism for brain decoding, this work focuses on identifying conceptual boundaries, potential misinterpretations, and open questions that must be addressed before non-classical approaches to neural signal decoding can be meaningfully evaluated. Ethical considerations, methodological limitations, and future research directions are discussed to clarify the conditions under which such speculative frameworks may contribute to neuroscience, while avoiding overextension beyond current empirical evidence.

Fields of Study & Subjects

Neural dynamics and brain function Quantum Mechanics and Applications EEG and Brain-Computer Interfaces

Publication details

Journal / source
Frontiers in Systems Neuroscience
Publisher
Frontiers Media SA
Volume
20
Pages
1786729–1786729
Publication date
28 April 2026
Language
EN