Modeling Quantum Mechanical Observers via Neural-Glial Networks

Details Modeling Quantum Mechanical Observers via Neural-Glial Networks Modeling Quantum Mechanical Observers via Neural-Glial Networks

2010-05-29

arxiv.org/abs/1005.5430v6

Int.J.Mod.Phys.B.26:1250060,2012

Physics

Condensed Matter

Disordered Systems and Neural Networks

24 pages, published version

Scientific paper

We investigate the theory of observers in the quantum mechanical world by using a novel model of the human brain which incorporates the glial network into the Hopfield model of the neural network. Our model is based on a microscopic construction of a quantum Hamiltonian of the synaptic junctions. Using the Eguchi-Kawai large N reduction, we show that, when the number of neurons and astrocytes is exponentially large, the degrees of freedom of the dynamics of the neural and glial networks can be completely removed and, consequently, that the retention time of the superposition of the wave functions in the brain is as long as that of the microscopic quantum system of pre-synaptics sites. Based on this model, the classical information entropy of the neural-glial network is introduced. Using this quantity, we propose a criterion for the brain to be a quantum mechanical observer.

Affiliated with

Also associated with

No associations

Rating

Modeling Quantum Mechanical Observers via Neural-Glial Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Modeling Quantum Mechanical Observers via Neural-Glial Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling Quantum Mechanical Observers via Neural-Glial Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-86195