which is best Machine Learning algorithm for auditory oddball ?

Rafia

Currently, I am doing research to identify focused EEG from distracted EEG and I am doing it by auditory oddball paradigm. I will apply Machine learning algorithms to classify/identify focused EEG epoch. For this, which Machine learning algorithms I should apply? Or, for auditory signal, which Machine learning algorithm I shouldn't use?

Thanks.

wjcroft

Rafia, hi.

This 2020 paper points to a number of reviews of ML classifiers,

https://www.researchgate.net/publication/338502268_Evaluation_of_convolutional_neural_networks_using_a_large_multi-subject_P300_dataset

Found that with this simple search:

https://www.google.com/search?q=p300+ml+methods

Another potential source of opinions, is to post a query on the NeuroTechX Slack. Which has numerous neuroscience people watching the posts. See the signup link on this page.

https://neurotechx.com/community/

Regards, William

wjcroft

Also see the Deep Learning review paper here,

https://openbci.com/forum/index.php?p=/discussion/comment/10040/#Comment_10040

wjcroft

Related?

https://openbci.com/forum/index.php?p=/discussion/3011/eeg-epoch-elimination-with-machine-learning-algorithm#latest