Approximating the Effect of Consciousness on Stochastic Brain Structures

There is a large amount of evidence in the Parapsychology literature that indicates thatconsciousness not an emergent property neuronal interactions and can exist andfunction independently brain. Here we examine mathematical methods canbe used to derive dynamic equations for mind-matter occurring thebrain these observations imply existence of. We use moments method toapproximate effect consciousness has on stochastic binary decision-makingneural networks , which model using biologically realistic Wilson-Cowan equations(Deco et al., 2007). show small changes variance randomness (onthe order 0.1 Hz2) consumed by neural bias selectone decision value over other. Using about interconnectednessof relatively isolated groups neurons, argue biases size predictedby approximation would be sufficient allow brain-independent consciousnessto exert significant control The results present here are relevantto any theory positing rote computations carried out neurons solecontributor consciousness.