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EEG signals recorded from seven healthy subjects. On average, Seventy-three minutes of EEG data were recorded from 31 electrodes placed according to the extended 10-20 system. Signals are used in the paradigm-agnostic post-hoc labeled dataset generation framework for benchmarking of oscillatory neural decoding methods.
Pre-print of the paper "Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods" available at http://arxiv.org/abs/1711.08208
neural decoding, subspace decomposition methods, oscillatory sources, dataset generation, label generation, benchmark testbench
neural decoding, subspace decomposition methods, oscillatory sources, dataset generation, label generation, benchmark testbench
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