EMI model: A scale free biophysical framework for human consciousness, cognition and behaviour

Understanding consciousness, cognition, and behaviour requires an integrated framework capable of bridging neurobiology, physics, and information theory. In this paper, we propose the Energy-Mass-Information (EMI) framework as a novel paradigm to conceptualize mental phenomena as emergent properties of dynamic, field-based interactions. Rooted in, and direct expression of the Unified Holographic Framework for Neural Coherence and Consciousness (UHF), EMI introduces a transdisciplinary approach that reconceptualizes the brain-mind system as a continuously evolving network of interactions among energetic oscillations, material substrates, and informational patterns. At the heart of the EMI model lies the notion that cognition arises through the formation and modulation of attractor states-stable yet flexible configurations in the brain's energy-information landscape-guided by resonance, plasticity, and self-organizing processes. Consciousness is thus interpreted as a holographically organized phenomenon, embedded within the biophysical substrate of the brain-body system and dynamically shaped by both internal and external fields. Behaviour emerges as the macroscopic expression of shifts among informational attractors, driven by energetic gradients and encoded across multiple scales of neural and body organization. By integrating principles from quantum coherence, neural synchronization, and dynamic systems theory, EMI offers a unifying perspective that transcends reductionist models, linking subjective experience to measurable neurophysiological and field-level processes.

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Publication Details

Journal
Biosystems
Published
2025-12-09
DOI
https://doi.org/10.1016/j.biosystems.2025.105674
Citations
1
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
1.75
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article

EMI model: A scale free biophysical framework for human consciousness, cognition and behaviour

Marco Cavaglià, Jack A. Tuszyński, Tommaso Firaux
1 citations
Biosystems
Plant and Biological Electrophysiology Studies
1.75
article

EMI model: A scale free biophysical framework for human consciousness, cognition and behaviour

Marco Cavaglià, Jack A. Tuszyński, Tommaso Firaux
article en
1 citations

Abstract

Understanding consciousness, cognition, and behaviour requires an integrated framework capable of bridging neurobiology, physics, and information theory. In this paper, we propose the Energy-Mass-Information (EMI) framework as a novel paradigm to conceptualize mental phenomena as emergent properties of dynamic, field-based interactions. Rooted in, and direct expression of the Unified Holographic Framework for Neural Coherence and Consciousness (UHF), EMI introduces a transdisciplinary approach that reconceptualizes the brain-mind system as a continuously evolving network of interactions among energetic oscillations, material substrates, and informational patterns. At the heart of the EMI model lies the notion that cognition arises through the formation and modulation of attractor states-stable yet flexible configurations in the brain's energy-information landscape-guided by resonance, plasticity, and self-organizing processes. Consciousness is thus interpreted as a holographically organized phenomenon, embedded within the biophysical substrate of the brain-body system and dynamically shaped by both internal and external fields. Behaviour emerges as the macroscopic expression of shifts among informational attractors, driven by energetic gradients and encoded across multiple scales of neural and body organization. By integrating principles from quantum coherence, neural synchronization, and dynamic systems theory, EMI offers a unifying perspective that transcends reductionist models, linking subjective experience to measurable neurophysiological and field-level processes.

BiosystemsVol. 259
University of Modena and Reggio Emilia (IT), Politecnico di Torino (IT)
Openalex Percentile: Top 11%
Plant and Biological Electrophysiology Studies
1.75
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