What is it about?
In this study we re-analyzed with a machine learning algorithm, the data of two previous studies related to EEG correlation at distance of 45 overall pairs of isolated participants connected only mentally.
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Why is it important?
It is particularly relevant because it represents a sort of proof-of-concept that it is possible to design practical applications related to mind-to-mind interaction at distance, paving the way to new mental telecommunication technologies.
Perspectives
With a modest investment for improving the algorithms for the detection of the EEG signal from the background noise at the level of single trials, our procedure is almost ready for devising a mental telecommunication technology based on binary signals
Dr Patrizio E Tressoldi
Università di Padova
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This page is a summary of: EEG correlation at a distance: A re-analysis of two studies using a machine learning approach, F1000Research, January 2019, Faculty of 1000, Ltd.,
DOI: 10.12688/f1000research.17613.1.
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