FEASIBILITY OF A PERSONAL NEUROMORPHIC EMULATION

Feasibility of a Personal Neuromorphic Emulation

Feasibility of a Personal Neuromorphic Emulation

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The representation of intelligence is achieved by patterns of connections among neurons in brains and machines.Brains grow continuously, such that their patterns of connections develop through activity-dependent specification, with the continuing echofix spring reverb ontogenesis of individual experience.The theory of active inference proposes that the developmental organization of sentient systems reflects general processes of informatic self-evidencing, through the minimization of free energy.We interpret this theory to imply that the mind may be described in information terms that are not dependent on a specific physical substrate.

At a certain level of complexity, self-evidencing of living (self-organizing) information systems becomes hierarchical and reentrant, such that effective consciousness emerges as the consequence of a good regulator.We propose that these principles imply that an adequate reconstruction of synovex one grass the computational dynamics of an individual human brain/mind is possible with sufficient neuromorphic computational emulation.

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