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. 2024 Sep 5;26(9):759.
doi: 10.3390/e26090759.

Feasibility of a Personal Neuromorphic Emulation

Don M Tucker  1   2 , Phan Luu  1   2
Affiliations

Feasibility of a Personal Neuromorphic Emulation

Don M Tucker et al. Entropy (Basel). .

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. 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 the computational dynamics of an individual human brain/mind is possible with sufficient neuromorphic computational emulation.

Keywords: active inference; mortal computing; neural development; neuromorphic computation; personal entropy.

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Conflict of interest statement

D.M.T. and P.L. are employees of the Brain Electrophysiology Laboratory Company, makers of high-density EEG and source localization software.

Figures

Figure 1
Figure 1
Elements of a PNE.
See this image and copyright information in PMC

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