We propose mathematical models of information processes of unconscious and conscious thinking (based on p-adic number representation of mental spaces). Unconscious thinking is described by classical cognitive mechanics (which generalizes Newton’s mechanics). Conscious thinking is described by quantum cognitive mechanics (which generalizes the pilot wave model of quantum mechanics). The information state and motivation of a conscious cognitive system evolve under the action of classical information forces and a new quantum information force, namely, conscious force. Our model might provide mathematical foundations for some cognitive and psychological phenomena: collective conscious behavior, connection between physiological and mental proces...
We develop a kind of quantum formalism (Hilbert space probabilistic calculus) for measurements perfo...
From a biological point of view, a human being is an open system and cannot be considered in isolati...
A model of consciousness is proposed, in which the experience attributable to a single neuron is rel...
International audienceIn the framework of p-adic analysis (the simplest version of analysis on trees...
We propose a mathematical model of functioning of the human subconscious based on the theory of dyna...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
We use the system of p-adic numbers for the description of informationprocesses. Basic objects of ou...
This paper discusses the possible approaches to modeling the cognitive activity of the human brain u...
A model of consciousness and conscious experience is introduced. Starting with a non-Lipschitz Chaot...
A model of consciousness and conscious experience is introduced. Starting with a non-Lipschitz ...
We consider the implications of the mathematical analysis of neurone-to-neurone dynamical complex ne...
In this paper, taking the theory of quantum information as a model, we consider the human unconsciou...
International audienceElementary quantitative and qualitative aspects of consciousness are investiga...
We examine the hypothesis that consciousness can be understood as a state of matter, “perceptronium”...
We develop a kind of quantum formalism (Hilbert space probabilistic calculus) for measurements perfo...
From a biological point of view, a human being is an open system and cannot be considered in isolati...
A model of consciousness is proposed, in which the experience attributable to a single neuron is rel...
International audienceIn the framework of p-adic analysis (the simplest version of analysis on trees...
We propose a mathematical model of functioning of the human subconscious based on the theory of dyna...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
We use the system of p-adic numbers for the description of informationprocesses. Basic objects of ou...
This paper discusses the possible approaches to modeling the cognitive activity of the human brain u...
A model of consciousness and conscious experience is introduced. Starting with a non-Lipschitz Chaot...
A model of consciousness and conscious experience is introduced. Starting with a non-Lipschitz ...
We consider the implications of the mathematical analysis of neurone-to-neurone dynamical complex ne...
In this paper, taking the theory of quantum information as a model, we consider the human unconsciou...
International audienceElementary quantitative and qualitative aspects of consciousness are investiga...
We examine the hypothesis that consciousness can be understood as a state of matter, “perceptronium”...
We develop a kind of quantum formalism (Hilbert space probabilistic calculus) for measurements perfo...
From a biological point of view, a human being is an open system and cannot be considered in isolati...
A model of consciousness is proposed, in which the experience attributable to a single neuron is rel...