Abstract
This study aims at developing a classification
method based on the neural connectivity by human EEG
dataset. An experimental result of four class classification
on a motor imagery task indicates that our novel analytical
method has a good performance and yields a crossvalidation accuracy of 53.5%.
method based on the neural connectivity by human EEG
dataset. An experimental result of four class classification
on a motor imagery task indicates that our novel analytical
method has a good performance and yields a crossvalidation accuracy of 53.5%.
Original language | English |
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Title of host publication | The Proceedings of the 28th Annual Conference of the Japanese Neural Network Society |
Subtitle of host publication | 第 28 回 日本神経回路学会全国大会 講演論文集 |
Publisher | Okinawa Institute of Science and Technology |
Chapter | P2-6 |
Pages | 122-123 |
Number of pages | 2 |
Publication status | Published - Oct 2018 |
Event | The 28th Annual Conference of the Japanese Neural Network Society - Okinawa Institute of Science and Technology (OIST)., Okinawa, Japan Duration: 24 Oct 2018 → 27 Oct 2018 Conference number: 28th http://jnns.org/conference/2018/index.html |
Conference
Conference | The 28th Annual Conference of the Japanese Neural Network Society |
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Abbreviated title | JNNS2018 |
Country/Territory | Japan |
City | Okinawa |
Period | 24/10/18 → 27/10/18 |
Other | The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018) will be held from October 24th to 27th at Okinawa Institute of Science and Technology (OIST). JNNS2018 aims to provide a forum for scientists, engineers, educators, and students to discuss the latest progress and future challenges in the field of neural information processing. This year, JNNS aims to make the conference international with all the presentations in English and world-renowned keynote lecturers, Dr. Shun-ich Amari (RIKEN Center for Brain Science) and Dr. Maneesh Sahani (Gatsby Computational Neuroscience Unit, UCL). Travel support will be provided for selected student presenters. |
Internet address |