Decoding the language of 'now': EEG microstates in experienced meditators, from letters to grammar.

Project: Research

Project Details

StatusFinished
Effective start/end date1/09/2017 → 31/08/2019

Collaborative partners

Funding

  • BIAL Foundation: £34,656.00

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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  • 1 Conference paper

  • Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied To Electroencephalography (EEG) Microstate Sequences

    Nehaniv, C. & Antonova, E., Nov 2017, Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied to Electroencephalography (EEG) Microstate Sequences.. Proceedings of the IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (IEEE CCMB'17) : I E E E, Vol. 2017. p. 1753-1761 (IEEE Symposium Series on Computational Intelligence, 27 November - 1 December 2017, Honolulu, Hawaii, U.S.A.).

    Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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