Feasibility of a Personal Neuromorphic Emulation.
Entropy (Basel, Switzerland) – September 05, 2024
Source: PubMed
Summary
Scientists reveal how our unique neural patterns could be replicated through neuromorphic computation - creating a "digital twin" of an individual's mind. Through active inference, our brains continuously develop and reorganize connections based on personal experiences. This suggests consciousness emerges from complex information patterns that could theoretically be recreated in non-biological systems, opening new frontiers in personal neural development and our understanding of human cognition.
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.