Transmitting states of consciousness between individuals is explored through neurointerface technologies and quantum-resistant blockchain systems. Stable neural activity patterns captured via EEG, MEG, and fMRI are processed by artificial intelligence algorithms to classify and analyze signals. Theoretical quantum aspects of consciousness, including superposition and entanglement, are considered for applying quantum technologies to data transmission. Quantum-resistant cryptographic systems like Quantum Resistant Ledger (QRL) are proposed to secure data against quantum computer attacks. Ethical and philosophical issues of consciousness transmission and future research directions are discussed.
This article proposes a theoretical framework for transmitting states of consciousness between individuals by combining neurointerface technologies (EEG, MEG, fMRI) with quantum-resistant blockchain systems like Quantum Resistant Ledger (QRL). AI algorithms classify and analyze neural signals to objectify consciousness states through stable neural activity patterns. The authors also explore the quantum nature of consciousness, invoking superposition and entanglement to justify using quantum technologies for data transmission. Ethical and philosophical implications are discussed, alongside prospects for integrating technology and cognitive processes.
This theoretical paper explores whether lucid dreams could be synchronized among a group of people by applying meme and tag-meme theory within the framework of the Banchenko algorithm. It analyzes shared elements and objects that might enable such synchronization, proposing a conceptual model for collective dream experiences. The work does not present empirical data or experimental results.