1 |
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
|
|
|
|
In: ISSN: 2041-1723 ; Nature communications, Vol. 13, No 1 (2022) P. 48 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
|
|
|
|
In: Nat Commun (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Audio-visual combination of syllables involves time-sensitive dynamics following from fusion failure
|
|
|
|
In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-03039448 ; Scientific Reports, Nature Publishing Group, 2020, 10, ⟨10.1038/s41598-020-75201-7⟩ (2020)
|
|
BASE
|
|
Show details
|
|
4 |
Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings
|
|
|
|
In: ISSN: 2045-2322 ; Scientific Reports, Vol. 10, No 1 (2020) P. 7637 (2020)
|
|
BASE
|
|
Show details
|
|
5 |
Audio-visual combination of syllables involves time-sensitive dynamics following from fusion failure
|
|
|
|
In: ISSN: 2045-2322 ; Scientific Reports, Vol. 10, No 1 (2020) P. 18009 (2020)
|
|
BASE
|
|
Show details
|
|
6 |
Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings
|
|
|
|
In: Sci Rep (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Audio-visual combination of syllables involves time-sensitive dynamics following from fusion failure
|
|
|
|
In: Sci Rep (2020)
|
|
BASE
|
|
Show details
|
|
|
|