Online ISSN 2653-4983
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A self-operating mathematical universe (SOMU) using dodecanion manifolds: A theory for consciousness validated by comparing human subject study and artificial brain
Pushpendra Singh 1,2, Jhimli Sarkar 1,3, Parama Dey 1,4, Sounak Sarkar 5, Anindya Pattanaya 5, Sudipa Nag 5, Sudeshna Pramanik 2, Pathik Sahoo 1, Komal Saxena 1,6, Soami Daya Krishnanda 6, Tanusree Dutta 5, Subrata Ghosh 7,8 and Anirban Bandyopadhyay 1
1 International Center for Materials and Nanoarchitectronics (MANA), Research Center for Advanced Measurement and Characterization (RCAMC), NIMS, 1-2-1 Sengen, Tsukuba, Ibaraki-3050047, Japan.
2 Amity School of Applied Science, Amity University Rajasthan, Kant Kalwar, NH-11C, Jaipur Delhi Highway, Jaipur, Rajasthan 303007, India.
3 Department Electronics and Electrical Communication Engineering, IIT Kharagpur, 721302 West Bengal, India.
4 Cancer Biology Laboratory and DBT-AIST International Centre for Translational and Environmental Research (DAICENTER), Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Assam 781039, India
5 Organizational Behavior and Human Resource Management, Indian Institute of Management, Ranchi, India-834008.
6 Microwave Physics Laboratory, Department of Physics and Computer Science, Dayalbag Educational Institute, Agra, Uttar Pradesh 282005, India.
7 Chemical Science and Technology Division, CSIR-North East Institute of Science and Technology, NEIST, Jorhat, 785006 Assam, India.
8 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP 201002, India.
Existing theories of consciousness use variants of bits/qubits as the unit of the brain's information and variants of the Turing machine as integrators of information, both widely used in computers. Though most theories bluntly put that the brain is not a Turing machine, no proposal suggests Turing's alternative. No proposal argues for making decisions with null human intervention, null computation while reading out instructions indirectly is still the hallmark of intelligence. Here, by mapping 200 human brains, isolated and in groups and creating an organic artificial brain, we verify the basic claims of a model self-operating mathematical universe, SOMU, where the distribution pattern of primes or density of primes in integer space estimates the pattern of all possible compositions for an integral number of choices for making decisions.......
Infoautopoiesis and Consciousness
Jaime F. Cárdenas-García
Department of Mechanical Engineering
University of Maryland – Baltimore County
1000 Hilltop Circle Baltimore, MD 21250, USA
E-mail: jfcg@umbc.edu
The process of infoautopoiesis (info = information; auto = self; poiesis = production), a self-referential, sensory commensurable, recursive and interactive homeorhetic feedback process immanent to Bateson’s difference which makes a difference. Infoautopoiesis as a sensation information-action-sensation... process is at the center of resolving the fundamental problem of information, engaging all humans in their efforts to satisfy their physiological (internal/external) and relational needs, elucidating how they interact with their environment and how these interactions are constitutive of information generation, information exchange, information relations and life.
Transcription of Fos family genes in nucleus accumbens: signaling pathways
and time courses of mRNA and protein levels
Henry C. Tuckwell
School of Electrical and Electronic Engineering, University of Adelaide,
Adelaide, South Australia 5005, Australia
An important new chapter in Neuroscience began in the 1980s when it was demonstrated that the induction of cFos occurred in response to the stimulation of acetylcholine receptors in neuron-like cells. Transcription of cfos commenced within minutes and involved an influx of extracellular Ca2+ through voltage-sensitive calcium channels. Neuronal activity in many neuron types and brain regions led to the induction of many genes on various time scales. The first to be activated were immediate early genes (IEGs), including the Fos family cfos, fosB, fra1, fra2, and several isoforms. A short form of fosB called ΔFosB resisted degradation and was thought to play a role in inducing changes in addiction-related neurons. The protein products of many IEGs act as transcription factors important in neurons of the central nervous system for their roles in neuronal plasticity, exemplified by learning and memory, addiction and several neuropsychiatric disorders such as depression. This article describes experimental data and the biochemical processes underlying the pathways that lead to such transcription as a prelude to modeling.
The act of understanding certainty is consciousness
Roman R. Poznanski1, J. HoJ. Holmgren1, L.A. Cacha1, E. Alemdar1,2 and E. J. Brändas3lmgren1, L.A. Cacha1, E. Alemdar1,2 and E. J. Brändas3
1 Integrative Neuroscience Group, Melbourne Australia 3145
We define precognitive affect, composed of information holding dispositional states, as non-contextual, rudimentary building blocks of subjective intentionality. We take on an animate thermodynamics approach to intentional agency. In reducing subjective uncertainty by negentropic action, intentions unfold into actions. They are intentions in action carrying meaning. In particular, the emergence of intentionality in terms of biological purposes introduced by subjective functioning allows for a satisfactory account of subjective intentionality. The underlying experience of acting paves the way for understanding the meaning of precognitive affect from subjective functioning. Therefore, the brain’s subjective intentionality as the underlying experience of acting is embedded in an anti-entropic consciousness code of “hidden” thermo-dynamic energy as negentropically-derived quantum potential energy in the process of unified functioning of consciousness.
Resonating with the World: Thinking Critically about Brain Criticality
Gerry Leisman 1,2
1 Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa, Israel
2 University of the Medical Sciences of Havana, Havana, Cuba
We have long considered how it is that billions of neurons can unite to be able to construct a physiologically based machine that can outperform many of the most advanced computers. The brain has a significant computational capacity that we have previously noted has storage possibilities that are close to infinite . Recently, we have found evidence to support the notion that the brain can tune itself to the level where it can be excitable without chaos in a fashion akin to a phase transition. Our nervous systems tend toward a homeostasis between rest and chaos. The situation between quiescence and chaos is the point at which there is an optimization of information processing This then leads us to the notion of criticality.
Criticality is a state found in complex systems on the cusp of a phase transition between randomness and order. In this type of system there exists a singular enhancement of information-processing capacities, in which we might even think that the brain itself may be critical. We are beginning to find associations and linkages between computation, criticality and cognitive processes. By understanding the notion of criticality, we can gain a more fundamental understanding of the nature of cognition and neural computation. We know that when neurons functionally combine with others, they seek a critical set point and regime. Criticality is mediated by inhibitory neurons whose function appears to be the regulation of larger networks of the brain.
Backpropagation and repetitive discharge of sodium spikes in sparsely excitable dendrites
Nicolangelo L. Iannella1,* and Roman R. Poznanski2
1 The Faculty of Mathematics and Natural Sciences University of Oslo, Oslo 0316 Norway
2 Integrative Neuroscience Group, Melbourne Australia 3145
We consider an extension to the previously formulated mathematical model of sparsely excitable dendrites with clusters of transiently activating, TTX-sensitive Na+ channels of low density, discretely distributed as point sources of transmembrane current along a continuous (non-segmented) passive cable structure. Each cluster or hot-spot, corresponding to a mesoscopic level description of Na+ ion channels, included known cumulative inactivation kinetics observed at the microscopic level. In such a reduced third-order system, the ‘recovery’ variable is an electrogenic sodium-pump and/or a Na+-Ca2+ exchanger imbedded in the passive membrane, and a high leakage conductance stabilizes the system. A nonlinear cable equation was solved to reproduce
The Superfluid Vacuum and the neural nature of the Universe
Sabato Scala*
Via Ernesto Murolo 15, 80039 Saviano (Napoli), Italia
Recent experiments seem to confirm the Bohmian interpretation of quantum mechanics by supporting the hypothesis of the existence of what Bohm called "pilot waves”, but numerous clues coming from the world of scientific research, suggest the existence of what Prigogine identified as the "world behind the scenes" that seems to underlie quantum phenomena; in particular, life related phenomena have anti-entropic behaviors opposite to those typical of classical thermodynamics, showing increases in the degree of order coexisting with the absorption of energy from the environment.
If we limited ourselves to the physics of the macroscopic world, except not wanting to admit the existence of "delayed potentials" or "feedbacks" that travel in the opposite direction to that of propagation of the phenomenon, or even through an inversion of the "cause- effect" and of time, as proposed by the "syntropic”mechanism theorized by Luigi Fantappié, it is necessary to look elsewhere for the origin of these behaviors.
In this article, starting from recent studies on the superfluid nature of vacuum , taking into account the possibility of a description of polar superfluids through an Ising model, or through a Spin Glass model, and the relative connection of these mathematical models with Hopfield's neural networks, the possibility is suggested that quantum phenomena are connected to an emergent behavior of the void that can be explained through its intrinsic dynamic behavior that can be described with neural mathematical models. In other words, a neural nature of the superfluid vacuum is proposed, and the consequences of this hypothesis are examined.