Artificial Intelligence in the Human Brain Matrix is a new technology that aims to connect the human brain with the machine in order to enable the human brain to perform defined functions even if it is unable to do so, such as performing vision in the case of blindness, hearing in the case of deafness, motion in the case of paralysis, and many other functions. This technology will be based on my Cognition Theory, which proposes that the entire cognition process might be treated quantum-mechanically. Quantum mechanics is a fundamental physics theory that deals with the description of physical processes at the atomic scale. as well as subatomic particles The action potential, which may be defined as a bundle of electrons in its simplest form; sort of like subatomic particles, mediates the interactions within the neurological system. As a result, this phenomenon occurs on a scale that Quantum mechanics can adequately describe. The process of cognition begins when a neuron delivers data to the brain to be processed and concludes when an effector responds. Because of the dual nature of the particles, the data "action potential" is a current of particles that may be characterised quantum-mechanically as a wave-impulse. Neurons are a network of entangled cells in both conventional and quantum mechanics. When the action potential affects the potential of the neurons, quantum mechanical potential wells and barriers are generated. Through quantum mechanical tunnels, the action potential precisely transfers in and out of the neurons. Although the form of energy before and after processing differs, the amount of energy is always conserved. The brain and effector will be entangled during action potential processing because the neurons are entangled during action potential transmission. The effector's data cognition must be discrete single-valued data from its self-adjoint matrix, which is entangled with the data.
Author(s) Details
John Ibrahim
Department of Physics, Royal Holloway University of London, United Kingdom.
View Book :- https://stm.bookpi.org/NUPSR-V13/article/view/2918
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