Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dupré la Tour, Tom"'
Autor:
Chen, Catherine1 (AUTHOR) cathychen@berkeley.edu, Dupré la Tour, Tom2 (AUTHOR), Gallant, Jack L.2 (AUTHOR), Klein, Daniel1 (AUTHOR), Deniz, Fatma2,3,4 (AUTHOR) deniz@tu-berlin.de
Publikováno v:
Communications Biology. 3/7/2024, Vol. 7 Issue 1, p1-13. 13p.
Autor:
Dupré la Tour, Tom
Dans les séries temporelles neurophysiologiques, on observe de fortes oscillations neuronales, et les outils d'analyse sont donc naturellement centrés sur le filtrage à bande étroite.Puisque cette approche est trop réductrice, nous proposons de
Externí odkaz:
http://www.theses.fr/2018SACLT018/document
Publikováno v:
In NeuroImage 1 December 2022 264
Autor:
Dupré la Tour, Tom1 tom.duprelatour@telecom-paristech.fr, Tallot, Lucille2,3, Grabot, Laetitia4,5, Doyère, Valérie3, van Wassenhove, Virginie4,5, Grenier, Yves1, Gramfort, Alexandre1,5,6
Publikováno v:
PLoS Computational Biology. 12/11/2017, Vol. 13 Issue 12, p1-32. 32p.
Autor:
Dupré la Tour, Tom
Publikováno v:
Signal and Image Processing. Université Paris-Saclay, 2018. English. ⟨NNT : 2018SACLT018⟩
In neurophysiological time series, strong neural oscillations are observed in the mammalian brain, and the natural processing tools are thus centered on narrow-band linear filtering.As this approach is too reductive, we propose new methods to represe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::4797f0cf8788b982027fbff5f7942a09
https://pastel.archives-ouvertes.fr/tel-01990746/document
https://pastel.archives-ouvertes.fr/tel-01990746/document
Publikováno v:
Advances in neural information processing systems
Advances in neural information processing systems, Dec 2017, Long Beach, United States
Advances in neural information processing systems, Dec 2017, Long Beach, United States
International audience; Neural time-series data contain a wide variety of prototypical signal waveforms (atoms) that are of significant importance in clinical and cognitive research. One of the goals for analyzing such data is hence to extract such '
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38198b72d05a785e423a8af35242217
http://arxiv.org/abs/1705.08006
http://arxiv.org/abs/1705.08006
Publikováno v:
BASP
BASP, Jan 2017, Villars-sur-Ollon, Switzerland
BASP, Jan 2017, Villars-sur-Ollon, Switzerland
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bce049514a10fa634302b9ba45567da8
https://telecom-paris.hal.science/hal-02287880
https://telecom-paris.hal.science/hal-02287880
Publikováno v:
43nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)
43nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
43nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
International audience; In non-linear autoregressive models, the time dependency of coefficients is often driven by a particular time-series which is not given and thus has to be estimated from the data. To allow model evaluation on a validation set,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bfc03293b4f5dcc4bf2ef0aca611f86
https://hal.science/hal-01696786/file/duprelatour2018icassp.pdf
https://hal.science/hal-01696786/file/duprelatour2018icassp.pdf
Autor:
Chen C; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA., Dupré la Tour T; Helen Wills Neuroscience Institute, University of California, Berkeley, USA., Gallant JL; Helen Wills Neuroscience Institute, University of California, Berkeley, USA., Klein D; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA., Deniz F; Helen Wills Neuroscience Institute, University of California, Berkeley, USA.; Institute of Software Engineering and Theoretical Computer Science, Technische Universität Berlin, Berlin, Germany.; Bernstein Center for Computational Neuroscience, Berlin, Germany.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 Dec 11. Date of Electronic Publication: 2023 Dec 11.