Manuel Blum (Carnegie Mellon University)
https://simons.berkeley.edu/talks/man…
The Role of TCS in Modern Machine Learning.
We define the Conscious Turing Machine (CTM), a formal global workspace model of consciousness specified as a 7-tuple. Its 10 million processors self-define a multimodal language, Brainish, together with a dictionary of chunks. Each chunk is a 5-tuple that contains and defines a 2-tuple Brainish word.
Our principal contribution is not theorems—though there is one—but theoretical insights into several central puzzles of consciousness. From this formal definition follow a proposed solution to the binding problem, an explanation of how the suffering of pain is generated, and testable predictions derived from the CTM.
With methods like MEG, PEG, EEG, N-IR, fMRT, electrodes — we can have only an INDIRECT access to neural activity.
But with ´Near-Death Experience´(NDE) we can perceive DIRECT, LIFE, CONSCIOUS how a single stimulus/thougth/situation is processed by the brain — step-by-step (contents, structure).
But up to now the DIRECT access to the working brain — as we can perceive it with NDEs — is ignored by brain-/consciousness-research.
This is the greatest problem of brain-/consciousness-research: It will never be possible to get a good understanding/idea of CONSCIOUS-perception, when the best access to the working brain is ignored by researchers
(e-Book/Book, in German language — with a complete explanation of NDEs: Kinseher Richard “Auflösung grosser Fragen: Was ist Bewusstsein? Was ist Zeit?” )