Categorizing objects from MEG signals using EEGNet
Author:
Funder
Nature Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-021-09717-7.pdf
Reference60 articles.
1. Alexander CA, Halgren E, Marinkovic K, Cash SS (2011) Decoding word and category-specific spatiotemporal representations from MEG and EEG. Neuroimage 54(4):3028–3039. https://doi.org/10.1016/j.neuroimage.2010.10.073
2. Almeida J, Mahon BZ, Caramazza A (2010) The role of the dorsal visual processing stream in tool identification. Psychol Sci 21(6):772–778
3. Bai L, Ma H, Huang Y, Luo Y (2005) The development of native Chinese affective picture system–a pretest in 46 college students. Chin Ment Health J. https://doi.org/10.1016/j.molcatb.2005.02.001
4. Blair K, Marcos PG, Hyung-Suk K, Norcia AM, Patrick S, Joseph N (2015) A representational similarity analysis of the dynamics of object processing using single-trial EEG classification. PLoS ONE. https://doi.org/10.1371/journal.pone.0135697
5. Cetiner I, Var AA, Cetiner H (2016) Classification of knot defect types using wavelets and KNN. Elektron Elektrotech 22(6):67–72. https://doi.org/10.5755/j01.eie.22.6.17227
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