The Cognition Theory: Human-Brain Artificial-Intelligence Matrix

Human-Brain Artificial-Intelligence Matrix is a new technology that aims to connect the human brain with the machine in order to enable the human brainto perform defined functions even if it becomes unable to perform them such as performing the function of vision in case of blindness, the function of hearing in case of deafness, Performing the function of motion in case of paralysis and many other functions. This technology will be based on the Cognition Theory, in which I suggest that the entire cognition process may be treated quantum-mechanically. Quantum mechanics is a cornerstone theory in physics that concerns with a description of any physical phenomena at the scale of atoms and subatomic particles. The interactions inside the nervous system are mediated by the action potential, which is in its simplest model, can be described as a bunch of electrons; sort of the subatomic particles. Hence, this phenomena is within the scale which is properly described by Quantum mechanics. The cognition starts when a neuron sends data to be processed in the brain and ends in an effector to respond. The data “action potential” is a current of particles which can be described quantum-mechanically as a wave-impulse based on the dual nature of the particles. In both classical and quantum mechanics, neurons are a network of entangled cells. Quantum mechanical potential wells and barriers are created when the action potential modifies the potential of the neurons. The action potential perfectly transmits in and out the neurons through quantum mechanical tunnels. The form of energy before processing is not the same after, but the amount of energy is always conserved. Since the neurons are entangled during the action potential transmission, the brain and effector will be entangled during the action potential processing. The effector’s cognition of data must be a discrete cognition of single-valued data from its self-adjoint matrix which entangled with brain matrix.