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- W3196562016 abstract "The article deals with a methodological analysis of S. Dehaene’s theory of the global neural workspace. The French neuroscientist criticizes philosophical theories of consciousness because they do not use experimentally confirmed data. Also, he rejects such concepts of consciousness as wakefulness and attention, since they primarily describe the work of the unconscious, and not consciousness. Therefore, he suggests a way to study consciousness that would be solely based on empirical methods and provide univocal neural correlates that could be used to track the transition of a stimulus received in the brain from the unconscious to the conscious area. S. Dehaene’s research team offers four such correlates, or “signature” of consciousness, the last of which demonstrates the transition of activity from different, specialized parts of the brain to the entire neural network. Also, he believes that due to the development of neuroscientific methods of consciousness research and technologies for reading and decrypting neuroactivity in the near future, it will be possible to “read minds”, which means the reproduction of both individual conscious states and consciousness as a whole on artificial systems. This theory is not a fundamentally new way of studying consciousness, since it develops the ideas put forward by B. Baars at the end of the XX century. Based on the theory of the global neural workspace, the article attempts to identify the main misconceptions of neurobiological theories of consciousness, outlining the direction of research programs of consciousness and the brain as interrelated parts, and determining their prospects in solving the problem of consciousness." @default.
- W3196562016 created "2021-09-13" @default.
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- W3196562016 date "2020-01-01" @default.
- W3196562016 modified "2023-10-18" @default.
- W3196562016 title "Theory of global neuronal workspace by S. Dehaene" @default.
- W3196562016 doi "https://doi.org/10.21146/2413-9084-2021-25-2-90-102" @default.
- W3196562016 hasPublicationYear "2020" @default.
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