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2026 - 2601(1)
Any replacements are listed farther down
[11] ai.viXra.org:2601.0092 [pdf] submitted on 2026-01-23 19:32:29
Authors: Bunichi Murakami
Comments: 3 Pages. (Note by ai.viXra.org Admin: Please cite and list scientific references)
This paper expounds on the "Potential Difference Principle," a fundamental mechanism explaining human transformation, growth, and learning. The core insight is that transformation energy is proportional to the "potential difference" (gap) between an initial state and a final state. Represented by [a] formula. Through the case study of Helen Keller, we illustrate how an infinite potential difference generates infinite energy. Furthermore, we propose an engineering model to design optimal gaps for growth and discuss the universality of this principle across physics and economics. Finally, we delineate the definitive difference between Artificial Intelligence (AI) and humans: the capacity to "feel" and "create" these potential differences.
Category: Mind Science
[10] ai.viXra.org:2512.0084 [pdf] submitted on 2025-12-24 22:34:15
Authors: Lluis Eriksson
Comments: 12 Pages.
Cognitive systems are resource-limited, but "resource limitation" is often invoked without distinguishing one-shot costs (forming a representation) from sustained costs (keeping it usable under noise). We argue that availability of internal state features for control, integration, and report is constrained by their maintainability under finite budgets. As a technical anchor, we cite a companion technical preprint deriving an operational inequality in explicit thermodynamic control models, showing that incremental maintenance power can have a non-arbitrary lower bound tied to dynamical fragility. This motivates an operational cut: a feasibility boundary separating maintainable from unmaintainable state features. We develop an auditable bridge argument (maintainability → stability → availability), propose a neutrality-friendly principle of maintenance-feasibility bias, and show how it can be incorporated into active inference (Free-Energy Principle) as a maintenance penalty or constraint, while aligning secondarily with Global Workspace accounts of access stability. We address common objections and offer falsifiable predictions for synthetic agents and neuromorphic systems, plus an explicitly exploratory psychophysics subsection framed in terms of reportability and stability rather than phenomenology. We do not propose collapse mechanisms, do not derive the Born rule, and make no claims about phenomenological consciousness.
Category: Mind Science
[9] ai.viXra.org:2510.0057 [pdf] submitted on 2025-10-24 20:46:07
Authors: Yong Sik Byeon
Comments: 36 Pages.
This paper presents a conceptual framework in which brain waves function as essential temporal synchronization signals coordinating neural information processing across the entire brain. Unlike conventional perspectives that view brain oscillations as secondary byproducts of neural activity, this model proposes that oscillatory rhythms actively partition continuous neural activity into discrete temporal units. Such temporal quantization ensures that strengthening and decay of synaptic representations occur with precise timing across widespread neural populations, maintaining coherence and consistency in information retention and forgetting.Neural populations respond selectively to specific frequency bands based on intrinsic resonance properties, allowing differentiated processing speeds across regions. This framework provides an integrated explanation for diverse cognitive phenomena, including sleep-related memory consolidation, attention regulation, meditation-induced cognitive effects, and temporal instability observed in attention-deficit disorders. The model predicts that slower brain waves prolong information retention, whereas faster rhythms accelerate information updating and decay, offering testable hypotheses for experimental validation.Applications of this framework extend to neuroengineering and cognitive enhancement technologies, including adaptive brain-computer interfaces, closed-loop neuromodulation systems, and personalized learning platforms that adjust timing and reinforcement intervals according to individual brain wave characteristics.This work acknowledges AI-assisted drafting for conceptual organization and textual refinement. While the underlying hypotheses and theoretical constructs are human-conceived, AI support was employed solely to structure and phrase the manuscript for clarity and coherence.In conclusion, brain waves are interpreted not as ancillary phenomena but as evolutionarily conserved mechanisms essential for temporal alignment in large-scale neural networks. This perspective bridges theoretical neuroscience with practical technological applications and provides a foundation for future experimental and computational studies investigating the functional role of oscillatory dynamics in cognitive processing.
Category: Mind Science
[8] ai.viXra.org:2509.0031 [pdf] submitted on 2025-09-11 19:28:45
Authors: Debendra Nath Behera, Moninder Singh Modgil, Dnyandeo Dattatray Patil
Comments: 34 Pages.
This paper develops the metaphor of an "Operating System (OS) of the consciousness"as a framework for uniting insights from philosophy, psychology, neuroscience, artificial intelligence, and spiritual traditions. Just as a computational OS coordinates hardware and software through modules such as kernels, drivers, processes, and schedulers, consciousness may be understood as an integrative system that manages awareness, perception, memory, volition, and expression. The model explores parallels with cognitive architectures, phenomenology, psychoanalysis,and contemplative systems such as chakras and the Eightfold Path, suggesting that onsciousness embodies both adaptive processes and immutable structures. By incorporating concepts such as memory layers, willpower scheduling, personality as interface, and pre-recorded roles akin to ROM in Brahma Kumaris philosophy, the framework provides a layered architecture for interpreting identity, growth, and transformation. This interdisciplinary metaphor not only offers conceptual clarity but also illuminates applications for therapeutic practice, personal development, and ethical considerations in AI design.
Category: Mind Science
[7] ai.viXra.org:2509.0023 [pdf] submitted on 2025-09-10 12:11:28
Authors: Moninder Singh Modgil, Dnyandeo Dattatray Patil
Comments: 31 Pages.
This work develops a unified theoretical framework connecting electroencephalography(EEG), quantum path integrals, and mechanosensitive modulation of neuronaldynamics in meditation. Neurons are modeled as mesoscopic quantum oscillatorsgoverned by a brain-specific Planck-like constant, the Brain’s Neuronal Planck Constant(hNeuron), estimated to be on the order of 10−16 J·s. This formulation allowsneuronal firing frequencies to be treated analogously to quantized oscillator states,extending Feynman’s path integral formalism to cortical and subcortical ensembles.The framework incorporates mechanosensory contributions from Piezo2 ion channels,which transduce vascular pulsations into periodic perturbations of membrane potentials,thereby entraining cortical and limbic oscillations. EEG rhythms, including sensorimotorrhythm (SMR), occipital alpha, frontal theta, and gamma synchrony, emergeas macroscopic interference fields resulting from coherent sums over neuronal amplitudes.We demonstrate how meditation alters these rhythms by narrowing spectraldensities, reducing phase dispersion, and enhancing constructive interference acrosscortical and deep brain structures such as the thalamus, hippocampus, and amygdala.Predictions include robust SMR and alpha with eyes closed, persistent alpha duringeyes-open meditation, theta-gamma coupling in blissful states, and widespread gammacoherence in states of universal love. The integration of EEG, fMRI, and path integralneurodynamics provides a rigorous mesoscopic model linking interoceptive physiology,quantum neurobiology, and meditative phenomenology, offering experimentally testablepredictions for the neuroscience of consciousness.
Category: Mind Science
[6] ai.viXra.org:2509.0019 [pdf] submitted on 2025-09-08 02:13:59
Authors: Debendra Nath Behera, Moninder Singh Modgil, Dnyandeo Dattatray Patil
Comments: 33 Pages.
This paper develops a comprehensive mathematical framework for the topology and geometryof perception by integrating neurobiological, phenomenological, and quantumtheoreticperspectives. We extend the concept of Perceptual Tangent Spaces (PTS),originally proposed within a differential geometric formulation of von Neumann’s measurementtheory, to neural manifolds and conscious vector fields. The observer is modeledas a Dirac delta distribution anchored in the hypothalamus, serving as the singular locusthat collapses distributed neural and perceptual superpositions into localized consciousactualizations. The framework unifies brain dynamics, perceptual geometry, and consciousnessby employing Hilbert bundles, curvature tensors, and fidelity metrics, whichcapture the continuity, curvature, and coherence of perceptual evolution. Path integralformulations of neural and perceptual manifolds are introduced, showing how distributedneural trajectories contribute to perceptual and motor amplitudes that collapse throughquantum measurement chains (QMC). Case studies in tennis and chess illustrate howPTS and QMC structure decision making, motor preparation, and outcome perception.Extensions to affective measurement chains (AMC) explain the joy of victory throughreward circuitry, while meditative states are modeled as a transition from a Dirac deltato a Gaussian anchor, representing diffused awareness. The framework is further generalizedto collective cognition in multi-agent systems and synthetic QMC in artificialintelligence, highlighting the necessity of a delta anchor for localized consciousness. Bybridging topology, geometry, and quantum measurement with neurocognitive processes,this work advances a unified theory of perception, consciousness, and decision making.
Category: Mind Science
[5] ai.viXra.org:2509.0002 [pdf] submitted on 2025-09-01 22:20:31
Authors: Emirhan Yildirim
Comments: 22 Pages.
Background: The study of shared subjective experience, or intersubjectivity, represents a significant challenge for traditional single-brain neuroscience. The recent emergence of second-person methodologies, particularly hyperscanning, has enabled the measurement of Inter-brain Synchronization (IBS) as a neural correlate of social connection, yet most paradigms confound shared intentionality with shared sensory and motor cues.
Category: Mind Science
[4] ai.viXra.org:2507.0016 [pdf] submitted on 2025-07-03 01:17:52
Authors: Moninder Singh Modgil, Dhyandeo Dattatray Patil
Comments: 29 Pages.
This paper explores the cognitive and metaphysical architecture of "Life after Life",through the novel framework of the "Structure of a Point of Time—III". Building upon philosophical conceptions of time, memory, and selfhood, the study integrates insightsfrom Henri Bergson’s dur´ee, J.M.E. McTaggart’s A and B theories, and Edmund Husserl’sphenomenology, with scientific interpretations rooted in neurobiology, quantum theory,and catastrophe theory. A central proposal is that the "point" in time experienced duringan NDE is not merely a temporal compression but a higher-dimensional, atemporal manifoldof selfhood and memory. The work introduces advanced topological and geometricalmodels—such as fibre bundles of consciousness and foliation of perceptual manifolds—torepresent subjective time and its transcendence during NDEs. The paper also draws parallelswith eschatological structures from Platonic, Buddhist, Abrahamic, and Vedantic traditions, culminating in a metaphysical discussion of the "Meta-NDE" at the closure of the Kalpa, where the soul reviews its entire cycle of rebirths and returns to the atemporal realm of Paramdham. Diagrams and mathematical formulations are provided to bridge philosophical insight with formal structure. This synthesis presents a multidisciplinary model for understanding temporality, death, and transcendental consciousness.
Category: Mind Science
[3] ai.viXra.org:2506.0121 [pdf] submitted on 2025-06-27 03:09:26
Authors: Vishnu Saran
Comments: 4 Pages. (Note by ai.viXra.org Admin: Please cite listed scientific references)
This paper sketches a speculative framework that treats consciousness not as an emergent property of neural computation but as a non-local, field-like phenomenon. Within this framework, individual identity—the subjective sense of "I"—is envisioned as a function of a unique frequency resonance and an unreplicable access condition, analogous to an encryption key. Drawing loosely from quantum mechanics, information theory, and traditional metaphysics, the paper suggests that the self is not copyable, even in principle. Implications for mind uploading, synthetic consciousness, and theories of survival beyond death are briefly considered.
Category: Mind Science
[2] ai.viXra.org:2506.0024 [pdf] submitted on 2025-06-06 20:28:11
Authors: Moninder Singh Modgil, Dnyandeo Patil
Comments: 22 Pages.
This paper explores an interdisciplinary framework linking the exceptional Lie groupE8 with the architecture and dynamics of the human neocortex. We propose that thestructural and algebraic richness of E8 may serve as a candidate symmetry modelunderlying aspects of cortical computation, connectivity, and information processing.Drawing from algebraic topology, theoretical neuroscience, and information theory,the study maps mathematical properties of E8 onto the functional topology of corticalmanifolds and examines corresponding feedback loops through differential and geometricanalogues. The work outlines a potential computational model constrained by E8symmetry, evaluates neuroscientific validation pathways including imaging and timeseriesdata analysis, and considers applications to artificial intelligence. Philosophicalimplications are addressed, including discussions on symmetry, mathematical realism,epistemology, and the limits of reductionism. While acknowledging the speculative nature of the hypothesis, the paper aims to stimulate cross-disciplinary dialogue and outlines strategies for future empirical and omputational exploration.
Category: Mind Science
[1] ai.viXra.org:2504.0051 [pdf] submitted on 2025-04-14 08:13:39
Authors: Moninder Singh Modgil
Comments: 30 Pages.
We develop a path integral formulation of brain function by modeling neurons as quantum mechanical oscillators. Each neuron is represented as a mesoscopic quantum system with a firing frequency $u$, an amplitude $A$ corresponding to neurotransmitter release, and an associated Planck-like constant $hbar^B$. This framework extends to coupled oscillators, assemblies, and layered cortical structures with excitatory and inhibitory dynamics. The quantum amplitude of brain states is derived from a Lagrangian formulation and propagated via Feynman path integrals. We explore resonance, inhibition, perceptual collapse, cerebellar timing, and group-level coherence in a unified quantum brain model.
Category: Mind Science
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