This paper proposes a "Consciousness Decoherence Model" grounded in a structured metaphor drawn from quantum decoherence theory. The model frames pre-conscious states as a superposition of multiple possible contents, and characterizes the formation of conscious awareness as a process of decoherence—triggered by internal and external "environments" (including sensory input, interoception, and attention)—that stabilizes one specific classical state into reportable awareness. Through systematic conceptual mapping and comparative analysis with Global Neuronal Workspace Theory, Integrated Information Theory, and other recent decoherence-inspired frameworks, the model unifies diverse cognitive phenomena such as creative insight, decision paralysis, and psychopathological states under a single dynamical logic.
This paper proposes a "Consciousness Decoherence Model" grounded in a structured metaphor drawn from quantum decoherence theory. The model frames pre-conscious states as a superposition of multiple possible contents, and characterizes the formation of conscious awareness as a process of decoherence—triggered by internal and external "environments" (including sensory input, interoception, and attention)—that stabilizes one specific classical state into reportable awareness. Through systematic conceptual mapping and comparative analysis with Global Neuronal Workspace Theory, Integrated Information Theory, and other recent decoherence-inspired frameworks, the model unifies diverse cognitive phenomena such as creative insight, decision paralysis, and psychopathological states under a single dynamical logic.
The study of consciousness and subjective experience represents one of the most intricate frontiers in contemporary philosophy, psychology, and cognitive science. For decades, dominant paradigms have characterized the mind through two reductive lenses: as a passive receptor of sensory data or as a computational system processing information through fixed algorithmic operations. While useful in specific contexts, these models consistently fail to capture the dynamic, participatory nature of conscious experience—the recursive relationship between awareness and reality construction. Recent theoretical developments challenge these frameworks by integrating diverse conceptual domains: quantum mechanics metaphors, classical mindfulness traditions, and cognitive behavioral theory. These emerging approaches propose a fundamentally transformative role for the observer, suggesting consciousness does not merely witness reality but actively participates in shaping it.
Classical cognitive psychology has long defaulted to linear, deterministic frameworks when explaining the mechanisms of human consciousness. These models—conceptual descendants of Newtonian mechanics—treat mental states as continuous trajectories where input A reliably produces output B through fixed causal chains. Yet this linear causality stumbles when confronted with the stochastic, non-linear, and frankly paradoxical texture of subjective experience: the phenomenon of profound ambivalence, the simultaneous housing of contradictory emotional states, the discontinuous leaps of insight that characterize complex human cognition. This paper advances a paradigm shift toward what we designate as Quantum Mindfulness—a structural model designed to address the explanatory gaps inherent in traditional linear frameworks. Rather than conceiving the mind as a singular, continuous stream, we reconceptualize it as a composite system of discrete cognitive units operating within a probabilistic field. Within this architecture, consciousness functions through a "superpositional" state of possibilities that resolves into definite experiential states only through specific, observer-directed mechanisms of collapse.
Abstract Classical mechanistic models of the mind often fail to capture the complex intricate interplay of human emotions and cognitive processes, particularly their interconnected and evolving nature. Recent advancements in quantum cognition suggest that thoughts and feelings may be influenced by principles analogous to those in quantum mechanics, such as superposition and entanglement. This paper examines the concept of emergence through destruction, a framework in which the collapse of potential emotional or cognitive states leads to the emergence of new attributes. The collapse of these states can be understood as an emergent phenomenon shaped by both intention and attention. In scenarios involving multiple potential mental states—whether in decision-making, perception, or thought—conscious focus serves as a selective way that transforms a superposition of possibilities into a single, actualized experience. This process, similar to the quantum observer effect, underscores that conscious attention is not a passive observation but an active force that shapes reality. Building on Bohm’s interpretation of active information, this collapse is seen as not merely a reduction of potential states but an informational process that channels possibilities into concrete forms. As one cognitive experience materializes, others recede into the background, yet this selection process simultaneously fosters the emergence of new properties or cognitive patterns. This dynamic mirrors the quantum measurement process, where observation reduces possibilities and enables new forms of emergence.
This is a unique text that explores quantum-like modelling frameworks that connect quantum mechanics with cognitive science and consciousness studies to propose a new ontological framework that transcends traditional boundaries between physics, philosophy, and cognitive science. The book develops along two complementary paths. First, it explores quantum-like modelling, an exciting emerging field where researchers apply logical and mathematical structures from quantum mechanics and information theory to cognitive modelling and decision science. Second, it investigates the profound links between quantum science and consciousness studies, incorporating insights from advanced mathematical frameworks such as category theory. By synthesizing these two approaches, the authors propose a novel framework termed 'quantum-like reality' that moves beyond pragmatic modelling to offer deeper ontological thinking that can enrich both foundational understanding and applied research. This will be an interesting read for students and researchers working at the intersection of quantum physics, cognitive science, and consciousness studies.
Quantum consciousness concerns both the possible role that quantum mechanics has for understanding consciousness as well as the role that consciousness has for interpreting quantum physics. Quantum brain theories hypothesize that quantum physical processes occur within and between the neurons of the brain and have important effects on cognition as well as consciousness. Quantum cognition is a growing new field in cognitive science concerned with the application of the mathematical principles of quantum theory to human judgment and decision-making behaviour. What do all these theories have to do with each other? Quantum theories of consciousness have more to say about quantum physics than cognitive psychology and conscious experiences. Quantum brain theories have not been sufficiently ‘scaled up’ to provide clear implications for how quantum physical processes generate more complex cognition. Quantum cognition theories have avoided addressing fundamental issues about consciousness and have remained agnostic with respect to the quantum brain hypothesis. This article will address the problem of connecting these ideas together by connecting quantum cognition to the other two topics.
Human conscious thought often appears as a diffuse, unstable, and only partly verbalizable field until attention, questioning, decision, or speech stabilizes it into a reportable form. This manuscript develops a quantum-inspired neural framework for that transition. The proposal does not claim that consciousness literally depends on microscopic quantum computation, that the brain implements a physical quantum computer, or that neuronal tissue maintains macroscopic quantum coherence. Instead, it uses the mathematical architecture of quantum theory-state vectors, density matrices, projection operators, non-commuting measurements, interference, decoherence-like contextual stabilization, and state reduction-as a formal language for modeling the transformation from latent conscious potential to reportable thought. In the proposed framework, pre-report consciousness is represented as a high-dimensional latent neural-cognitive state over candidate thoughts. This state evolves under a neural-cognitive Hamiltonian shaped by memory, salience, affect, attention, language, task demands, and spontaneous associative dynamics. A question such as "What are you thinking about?" is modeled as a measurement context that selects a basis and projects the latent state into a reportable cognitive eigenstate. The framework, therefore, treats an introspective report not as a passive readout of a pre-existing mental object but as an active state-reducing operation. Illustrative simulations demonstrate three formal consequences: (1) Non-commuting introspective questions generate order effects; (2) selective reporting reduces candidate-state entropy and suppresses off-diagonal latent coherence; and (3) overlapping candidate thoughts can produce interference-like probability structures. The model generates testable predictions for experience sampling, electroencephalography (EEG)/magnetoencephalography (MEG)/functional magnetic resonance imaging (fMRI) representational decoding, intracranial recordings, and perturbation studies: Introspective reports should depend on question order; spoken reports should reduce latent-state entropy more strongly than silent attention; ambiguous thought states should exhibit interference-like probability signatures; and neural activity should transition from high-dimensional latent dynamics toward lower-dimensional, report-stabilized states. Neural state reduction provides a computational bridge among quantum cognition, consciousness science, metacognition, global access, and the neuroscience of reportability.