Unlocking consciousness

Thomas Lewton

Menas C. Kafatos, Sisir Roy, Mihai Drãgãnescu

Jincheng Zhang

This paper explores the potential of utilizing the framework of multi-particle quantum field theory (MQFT) to simulate the neural correlates of consciousness. The core claim is to develop a system capable of mimicking brain activity and information flow, leveraging quantum entanglement as a fundamental mechanism. We propose a model centered around simulating neural networks through quantum entanglement, analyzing the impact of quantum phenomena on consciousness, and ultimately seeking to understand the underlying principles of this complex phenomenon. The research aims to move beyond traditional neural network models by incorporating a quantum perspective, potentially unlocking novel insights into the nature of consciousness.

Evan Harris Walker

Ben Goertzel

Camilo gomez potes

This exploratory paper proposes a mathematical model in which three-dimensional space and an additional coordinate, c, remain independently defined, while their interaction is activated by an observer’s conscious recognition of occupying three-dimensional space. It presents the model’s postulates, mathematical proofs, an exact solution, and requirements for empirical testing. The proposal has not been experimentally validated or peer reviewed.