An evolutionary-optimised multilayer perceptron achieves accuracy close to a tuned LSTM on two small EEG classification tasks at lower training cost, and outperforms it on a ten-class digit-imagery task.
A theory of alpha/theta neurofeedback, creative performanceenhancement,longdistancefunctionalconnectiv- ity and psychological integration,
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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
An evolutionary-optimised multilayer perceptron achieves accuracy close to a tuned LSTM on two small EEG classification tasks at lower training cost, and outperforms it on a ten-class digit-imagery task.