Takumi Kodama, Shoji Makino. Convolutional neural network architecture and input volume matrix design for ERP classifications in a tactile P300-based Brain-Computer Interface. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017. pages 3814-3817, IEEE, 2017. [doi]
@inproceedings{KodamaM17,
title = {Convolutional neural network architecture and input volume matrix design for ERP classifications in a tactile P300-based Brain-Computer Interface},
author = {Takumi Kodama and Shoji Makino},
year = {2017},
doi = {10.1109/EMBC.2017.8037688},
url = {https://doi.org/10.1109/EMBC.2017.8037688},
researchr = {https://researchr.org/publication/KodamaM17},
cites = {0},
citedby = {0},
pages = {3814-3817},
booktitle = {2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017},
publisher = {IEEE},
isbn = {978-1-5090-2809-2},
}