Quantum noise, entanglement and chaos in the quantum field theory of mind/brain states Abstract We review the dissipative quantum model of brain and present recent developments related with the rôle of entanglement, quantum noise and chaos in the model.
Quantum noise induced entanglement and chaos in the dissipative quantum model of brain Abstract We discuss some features of the dissipative quantum model of brain in the frame of the formalism of quantum dissipation. Such a formalism is based on the doubling of the system degrees of freedom. We show that the doubled modes account for the quantum noise in… (More)
At present the expression 'Majorana oscillator' does not appear to be in use in theoretical physics. However, the author of this paper heard it in the Seventies, during private conversations with the late Prof. B.Touschek. This little contribution tries to explore the possible meanings of this expression and introduces a new field equation, generalizing the… (More)
Right brain damaged patients affected by contralesional object-centred neglect are able to process all objects around them but systematically omit the left part of these objects. We show that pure object-centred neglect can be simulated by a basis function neural network in which the activity of units allowing head-centred coding of space is based on the… (More)
Due to the increasing digitalization of all societal systems, informed design of services and systems becomes pertinent for various stakeholders. This paper discusses the design of digital systems in a user-centered way with the help of subject-oriented design. The approach follows a communication-driven and network-centric perspective on a… (More)
The aim of this editorial is to briefly introduce some papers of different nature presented by the contributors to the special issue on " Second Generation General System Theory ". These contributions have been focused on the need for building a post-Bertalanffy Systemics, based on new problems, representations, and approaches to complexity. Furthermore,… (More)
The interest for neural networks stems from the fact that they appear as universal approximators for whatever kind of nonlinear dynamical system of arbitrary complexity. Because nonlinear systems, are studied mainly to model self-organization and emergence phenomena, there is the hope that neural networks can be used to investigate these phenomena in a… (More)