An application of feature selection to on-line P300 detection in brain-computer interface

Autor: Chumerin, Nikolay, Manyakov, Nikolay V, Combaz, Adrien, Suykens, Johan, Yazicioglu, RF, Torfs, T, Merken, P, Neves, HP, Van Hoof, Chris, Van Hulle, Marc

Publikováno v: 2009 IEEE International Workshop on Machine Learning for Signal Processing.

We propose a new EEG-based wireless brain computer interface (BCI) with which subjects can ldquomind-typerdquo text on a computer screen. The application is based on detecting P300 event-related potentials in EEG signals recorded on the scalp of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff5a0d0132790ec4c925e5b2a4e6d75f
https://doi.org/10.1109/mlsp.2009.5306244

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Large-scale recording of thalamocortical circuits: in vivo electrophysiology with the two-dimensional electronic depth control silicon probe.

Autor: Fiáth R; Group of Comparative Psychophysiology, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter, Catholic University, Budapest, Hungary.; School of Ph.D. Studies, Semmelweis University, Budapest, Hungary., Beregszászi P; Faculty of Information Technology and Bionics, Pázmány Péter, Catholic University, Budapest, Hungary., Horváth D; Group of Comparative Psychophysiology, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter, Catholic University, Budapest, Hungary.; School of Ph.D. Studies, Semmelweis University, Budapest, Hungary., Wittner L; Group of Comparative Psychophysiology, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary., Aarts AA; ATLAS NeuroEngineering, Leuven, Belgium., Ruther P; Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany.; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Freiburg, Germany., Neves HP; Unitec Semicondutores, Ribeirão das Neves, Brazil.; Solid State Electronics, Department of Engineering Sciences, Uppsala University, Uppsala, Sweden; and., Bokor H; Laboratory of Thalamus Research, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary., Acsády L; Laboratory of Thalamus Research, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary., Ulbert I; Group of Comparative Psychophysiology, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; ulbert.istvan@ttk.mta.hu.; Faculty of Information Technology and Bionics, Pázmány Péter, Catholic University, Budapest, Hungary.

Publikováno v: Journal of neurophysiology [J Neurophysiol] 2016 Nov 01; Vol. 116 (5), pp. 2312-2330. Date of Electronic Publication: 2016 Aug 17.

Two-dimensional multi-channel neural probes with electronic depth control.

Autor: Torfs T, Aarts AA, Erismis MA, Aslam J, Yazicioglu RF, Seidl K, Herwik S, Ulbert I, Dombovari B, Fiath R, Kerekes BP, Puers R, Paul O, Ruther P, Van Hoof C, Neves HP

Publikováno v: IEEE transactions on biomedical circuits and systems [IEEE Trans Biomed Circuits Syst] 2011 Oct; Vol. 5 (5), pp. 403-12.