Neuroscience & Neuroimaging Research Collection

Journal article

Classification of neural signals from sparse autoregressive features

Publication status:: Published

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Vidaurre, D., Bielza, C., & Larranaga, P. (2013). Classification of neural signals from sparse autoregressive features. NEUROCOMPUTING, 111, 21–26.

MLA Style

Vidaurre, D, et al. “Classification of Neural Signals from Sparse Autoregressive Features.” NEUROCOMPUTING, vol. 111, 2013, pp. 21–26.

Chicago Style

Vidaurre, D, C Bielza, and P Larranaga. 2013. “Classification of Neural Signals from Sparse Autoregressive Features.” NEUROCOMPUTING 111: 21–26.
Print

Access Document

Publisher copy:: 10.1016/j.neucom.2012.12.013

Authors

+ Vidaurre, D More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Psychiatry
Role:: Author

+ Bielza, C More by this author

Role:: Author

+ Larranaga, P More by this author

Role:: Author

Journal:: NEUROCOMPUTING More from this journal
Volume:: 111
Pages:: 21-26
Publication date:: 2013-07-02
DOI:: 10.1016/j.neucom.2012.12.013
EISSN:: 1872-8286
ISSN:: 0925-2312

Keywords:: Sparse autoregressive features

EEG

Brain-computer interfaces

Group lasso
Pubs id:: pubs:379998
UUID:: uuid:f65e02fa-3499-4223-89df-fc9cc7f9e03a
Local pid:: pubs:379998
Source identifiers:: 379998
Deposit date:: 2013-11-16
ARK identifier:: ark:/29072/ora_f65e02fa3499422389dffc9cc7f9e03a

Terms of use

Copyright date:: 2013

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP