Feasibility of a Personal Neuromorphic Emulation.
Entropy (Basel, Switzerland) September 5, 2024 DOI: 10.3390/e26090759 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Neuromorphic-computing Consciousness-research Brain-simulation Cognitive-science Neural-networks Active inference Mortal computing Neural development Neuromorphic computation Personal entropy |
| Key points | Proposes that the mind is describable in substrate-independent information terms and that adequate neuromorphic emulation of an individual human brain/mind is possible. |
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.