Quantum probability in decision making from quantum information representation of neuronal states.
Sci Rep
; 8(1): 16225, 2018 11 01.
Article
em En
| MEDLINE
| ID: mdl-30385809
ABSTRACT
The recent wave of interest to modeling the process of decision making with the aid of the quantum formalism gives rise to the following question 'How can neurons generate quantum-like statistical data?' (There is a plenty of such data in cognitive psychology and social science). Our model is based on quantum-like representation of uncertainty in generation of action potentials. This uncertainty is a consequence of complexity of electrochemical processes in the brain; in particular, uncertainty of triggering an action potential by the membrane potential. Quantum information state spaces can be considered as extensions of classical information spaces corresponding to neural codes; e.g., 0/1, quiescent/firing neural code. The key point is that processing of information by the brain involves superpositions of such states. Another key point is that a neuronal group performing some psychological function F is an open quantum system. It interacts with the surrounding electrochemical environment. The process of decision making is described as decoherence in the basis of eigenstates of F. A decision state is a steady state. This is a linear representation of complex nonlinear dynamics of electrochemical states. Linearity guarantees exponentially fast convergence to the decision state.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Teoria Quântica
/
Tomada de Decisões
/
Modelos Teóricos
/
Neurônios
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article