Searching for Unique Neural Descriptors of Primary Colours in EEG Signals: A Classification Study

Author:

Ludvigsen Sara L.,Buøen Emma H.,Soler Andres,Molinas Marta

Publisher

Springer International Publishing

Reference10 articles.

1. Barachant, A., King, J.R.: pyriemann v0.2.2, June 2015. https://doi.org/10.5281/zenodo.18982

2. Lecture Notes in Computer Science;A Barachant,2010

3. Barachant, A., Bonnet, S., Congedo, M., Jutten, C.: Classification of covariance matrices using a Riemannian-based kernel for BCI applications. Neurocomputing 112, 172 – 178 (2013). https://doi.org/10.1016/j.neucom.2012.12.039. Advances in artificial neural networks, machine learning, and computational intelligence

4. Bjørge, L.E., Emaus, T.: Identification of EEG-based signature produced by visual exposure to the primary colours RGB. Ph.D. thesis, NTNU (07 2017)

5. Chaudhary, M., Mukhopadhyay, S., Litoiu, M., Sergio, L., Adams, M.: Understanding brain dynamics for color perception using wearable EEG headband. In: Proceedings of 30th Annual International Conference on Computer Science and Software Engineering 2020 (08 2020)

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1. Impact of Ocular Artifact Removal on EEG-Based Color Classification for Locked-In Syndrome BCI Communication;Communications in Computer and Information Science;2024

2. Primary color decoding using deep learning on source reconstructed EEG signal responses;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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