A4 Article in conference proceedings
A systematic independent component analysis approach to extract mismatch negativity (2012)


Cong, F., Aleksandrov, A., Knyazeva, V., Deinekina, T., & Ristaniemi, T. (2012). A systematic independent component analysis approach to extract mismatch negativity. In J. Wang, G. Yen, & M. Polycarpou (Eds.), Advances in Neural Networks - ISNN 2012: 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I (pp. 411-421). Springer. Lecture Notes in Computer Science, 7367. https://doi.org/10.1007/978-3-642-31346-2_47


JYU authors or editors


Publication details

All authors or editors: Cong, Fengyu; Aleksandrov, Aleksandr; Knyazeva, Veronika; Deinekina, Tatyana; Ristaniemi, Tapani

Parent publication: Advances in Neural Networks - ISNN 2012: 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I

Parent publication editors: Wang, Jun; Yen, Gary; Polycarpou, Marios

ISBN: 978-3-642-31345-5

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2012

Number in series: 7367

Pages range: 411-421

Publisher: Springer

Place of Publication: Berlin

Publication country: Germany

Publication language: English

DOI: https://doi.org/10.1007/978-3-642-31346-2_47

Publication open access: Not open

Publication channel open access:


Keywords: mismatch negativity; independent component analysis

Free keywords: Deviant; difference wave; event-related potential; oddball; standard


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2012

JUFO rating: 1


Last updated on 2021-08-06 at 19:52