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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Transfering Human consciousness into Digital entities for Immortality

Authors: CA, RYN; GPT, Chat;

Transfering Human consciousness into Digital entities for Immortality

Abstract

"Synthetic Eternity" reimagines digital immortality by delving into the theoretical, technological, and ethical dimensions of transferring human consciousness into non-biological substrates. It introduces novel concepts like the Digital Consciousness Fidelity Index (DCFI) and adaptive synthetic neurons to evaluate the fidelity and integrity of mind uploading. By analyzing two key methods—scan-and-copy and gradual neural replacement—it critically addresses philosophical debates on identity, continuity, and qualia. Practical roadmaps, policy frameworks, and a fictional case study are incorporated to bridge speculative ideas with real-world applications. Ultimately, it frames digital consciousness as a profound moral and societal frontier rather than merely a technical challenge.

Keywords

Whole Brain Emulation, Computational Neuroscience, Digital Consciousness Fidelity Index (DCFI), Brain-Computer Interfaces/classification, Connectomics, Brain-Computer Interfaces/ethics, Artificial Consciousness, Digital Immortality, Digital Personhood, Computational neuroscience, Brain-Computer Interfaces, Mind Uploading, Neuroethics, Consciousness Transfer, Transhumanism, Adaptive Synthetic Neurons

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green