Article
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Feasibility of a Personal Neuromorphic Emulation
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Version 1
: Received: 12 July 2024 / Approved: 15 July 2024 / Online: 15 July 2024 (12:35:18 CEST)
How to cite: Tucker, D. M.; Luu, P. Feasibility of a Personal Neuromorphic Emulation. Preprints 2024, 2024071147. https://doi.org/10.20944/preprints202407.1147.v1 Tucker, D. M.; Luu, P. Feasibility of a Personal Neuromorphic Emulation. Preprints 2024, 2024071147. https://doi.org/10.20944/preprints202407.1147.v1
Abstract
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 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, that 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 hierarchic and reentrant, such that effective consciousness emerges as the consequence of a good regulator. These principles imply that an adequate reconstruction of the computational dynamics of an individual human brain is possible with a sufficient neuromorphic emulation.
Keywords
neuromorphic computation, personal entropy, neural development, mortal computing, active inference
Subject
Biology and Life Sciences, Life Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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