Quantum Entangled Prebiotic Evolutionary Process Analysis as Integrated Information: From the Origins of Life to the Phenomenon of Consciousness

Norman, Rich; Tamulis, Arvydas

doi:10.1166/jctn.2017.6818

Cited by 6 publications

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“…where α is a positive scaling parameter, and all other probabilities are updated according to Equation (9). The mentioned invariance in particular implies that any characteristic of the process must be invariant to the scaling (12a-d).…”

Section: Model Parameter Scalingmentioning

confidence: 99%

“…Integrated information (II) [ 1 , 2 , 3 , 4 ] is a measure of internal information exchange in complex systems and it has recently attracted a lot of interest, because initially it was proposed to quantify consciousness [ 5 ]. Despite the fact that this initial aim is still a matter of research and debate [ 6 , 7 , 8 , 9 ], the II concept itself is by now a widely acknowledged tool in the field of complex dynamics analysis [ 10 , 11 , 12 ]. The general concept gave rise to specific “empirical” formalizations of II [ 13 , 14 , 15 , 16 ] aimed at computability from empirical probability distributions based on real data.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Information in the Spiking–Bursting Stochastic Model

Kanakov

Gordleeva

Zaikin

2020

Entropy

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Integrated information has been recently suggested as a possible measure to identify a necessary condition for a system to display conscious features. Recently, we have shown that astrocytes contribute to the generation of integrated information through the complex behavior of neuron–astrocyte networks. Still, it remained unclear which underlying mechanisms governing the complex behavior of a neuron–astrocyte network are essential to generating positive integrated information. This study presents an analytic consideration of this question based on exact and asymptotic expressions for integrated information in terms of exactly known probability distributions for a reduced mathematical model (discrete-time, discrete-state stochastic model) reflecting the main features of the “spiking–bursting” dynamics of a neuron–astrocyte network. The analysis was performed in terms of the empirical “whole minus sum” version of integrated information in comparison to the “decoder based” version. The “whole minus sum” information may change sign, and an interpretation of this transition in terms of “net synergy” is available in the literature. This motivated our particular interest in the sign of the “whole minus sum” information in our analytical considerations. The behaviors of the “whole minus sum” and “decoder based” information measures are found to bear a lot of similarity—they have mutual asymptotic convergence as time-uncorrelated activity increases, and the sign transition of the “whole minus sum” information is associated with a rapid growth in the “decoder based” information. The study aims at creating a theoretical framework for using the spiking–bursting model as an analytically tractable reference point for applying integrated information concepts to systems exhibiting similar bursting behavior. The model can also be of interest as a new discrete-state test bench for different formulations of integrated information.

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Section: Model Parameter Scalingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Information in the Spiking–Bursting Stochastic Model

Kanakov

Gordleeva

Zaikin

2020

Entropy

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“…Quantum entangled processes and informational exchange are now known to be dynamic contributors in biological systems at room temperatures (Cai et al 2010;Cifra et al 2010;Rosi et al 2011;Prasad et al 2014) and by way of empirically rigorous Time Dependent Density Theory models, have been demonstrated as primary contributors to the evolution of life itself from photosynthetic prebiotic kernel systems in the Isua Greenstone Belt in Greenland some 3.7 -3.85 billion years past (Tamulis et al 2016;Norman and Tamulis 2017). There is further longstanding evidence of the delicate connectivity between photonic expression and biological processes.…”

Section: [See Reference List Three For Section Below]mentioning

confidence: 99%

Untitled

2018

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Information has been suppressed which appears to lead to new solutions for many problems in physics that could benefit the race of man and the Earth upon which we live. Probabilistic theories are an ingenious approach necessitated to circumvent human phenomenological constraints while reaching a correct assessment of physical system state outcomes, although offering no physical causal basis. This missing physical causality is due in large part to the absence of particular pieces of suppressed information. The suppressed information in question, is a new solution to the equations of Maxwell, that will apparently solve questions of: neutrino theory; gravitational expression and propagation speed; energy production without pollution; the hydrogen bond as acting within aqueous bio-systems; 'virtual' particulate expressions as force carriers within electromagnetic and gravitational dynamics and finally provide a clear physical explanation for quantum effects through mathematical articulation of the actual hidden variable underlying quantum theory itself: Consciousness.

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“…Integrated information (II) [1][2][3][4] is a measure of internal information exchange in complex systems which was initially proposed to quantify consciousness [5]. This initial aim still remaining a matter of research and debate [6][7][8][9], the II concept itself is by now a widely acknowledged tool in the field of complex dynamics analysis [10][11][12]. The general concept gave rise to specific "empirical" formalizations of II [13][14][15][16] aimed at computability from empirical probability distributions based on real data.…”

Section: Introductionmentioning

confidence: 99%

Integrated Information in the Spiking-Bursting Stochastic Model

Kanakov,

Gordleeva,

Zaikin

2019

Preprint

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This study presents a comprehensive analytic description in terms of the empirical "whole minus sum" version of Integrated Information in comparison to the "decoder based" version for the "spiking-bursting" discrete-time, discrete-state stochastic model, which was recently introduced to describe a specific type of dynamics in a neuron-astrocyte network. The "whole minus sum" information may change sign, and an interpretation of this transition in terms of "net synergy" is available in the literature. This motivates our particular interest to the sign of the "whole minus sum" information in our analytical consideration. The behavior of the "whole minus sum" and "decoder based" information measures are found to bear a lot of similarity, showing their mutual asymptotic convergence as time-uncorrelated activity is increased, with the sign transition of the "whole minus sum" information associated to a rapid growth in the "decoder based" information.The study aims at creating a theoretical base for using the spiking-bursting model as a well understood reference point for applying Integrated Information concepts to systems exhibiting similar bursting behavior (in particular, to neuron-astrocyte networks). The model can also be of interest as a new discrete-state test bench for different formulations of Integrated Information.

show abstract

Quantum Entangled Prebiotic Evolutionary Process Analysis as Integrated Information: From the Origins of Life to the Phenomenon of Consciousness

Cited by 6 publications

References 0 publications

Integrated Information in the Spiking–Bursting Stochastic Model

Integrated Information in the Spiking–Bursting Stochastic Model

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Integrated Information in the Spiking-Bursting Stochastic Model

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