A tool to investigate information co-occurrence in EEG signals along the time dimension
Markus Luczak–Roesch · Zenodo (CERN European Organization for Nuclear Research) · 2016
This release was developed for the MAMEM dataset I [1] and allows to create Transcendental Information Cascades [2,3] for EEG signals using the euclidian distance between the power spectra of the signal at different time slices as a similarity measure. Similarity thresholds of 250, 500, 1000, and 2000 are implemented in order to investigate the sensitivity of the approach. [1] Nikolopoulos, Spiros (2016): MAMEM EEG SSVEP Dataset I (256 channels, 11 subjects, 5 frequencies presented in isolation). figshare. https://dx.doi.org/10.6084/m9.figshare.2068677.v5 Retrieved: Dec 13, 2016 [2] Luczak-Rösch, Markus, Tinati, Ramine and Shadbolt, Nigel (2015) When resources collide: towards a theory of coincidence in information spaces. In, WWW 2015 Companion, Florence, IT, 6pp. (doi:10.1145/2740908.2743973). [3] Luczak-Roesch, M., Tinati, R., Van Kleek, M. and Shadbolt, N., 2015, August. From coincidence to purposeful flow? properties of transcendental information cascades. In 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 633-638). IEEE.