Replication Data for: Evaluation of convolutional neural networks using a large multi-subject P300 dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'File: containing all extracted Guess The Number EEG epochs. Data format:  contains two arrays accessible using keys 'allTargetData' and 'allNonTargetData'. Balancing of examples across two classes was achieved by picking only one random non-target number for 'allNonTargetData' in each participant. Each of the two arrays has the following structure: 'number of epochs' x 'number of EEG channels' (= 3 - Fz, Cz, Pz) x  'number of time samples in each epoch' ( = 1200 - epochs with Fs = 1 kHz extracted between -0.2 s and 1 s relative to stimuli onsets) The original paper describing the experiment and referencing to original raw EEG data:  Mouček, R., Vařeka, L., Prokop, T., Štěbeták, J., & Brůha, P. (2017). Event-related potential data from a guess the number brain-computer interface experimen' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["brain-computer interface","event-related potential","P300"]} <|eot_id|>
 Here is the Description of a dataset. Description:'File: containing all extracted Guess The Number EEG epochs. Data format:  contains two arrays accessible using keys 'allTargetData' and 'allNonTargetData'. Balancing of examples across two classes was achieved by picking only one random non-target number for 'allNonTargetData' in each participant. Each of the two arrays has the following structure: 'number of epochs' x 'number of EEG channels' (= 3 - Fz, Cz, Pz) x  'number of time samples in each epoch' ( = 1200 - epochs with Fs = 1 kHz extracted between -0.2 s and 1 s relative to stimuli onsets) The original paper describing the experiment and referencing to original raw EEG data:  Mouček, R., Vařeka, L., Prokop, T., Štěbeták, J., & Brůha, P. (2017). Event-related potential data from a guess the number brain-computer interface experimen' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
File: containing all extracted Guess The Number EEG epochs. Data format:  contains two arrays accessible using keys 'allTargetData' and 'allNonTargetData'. Balancing of examples across two classes was achieved by picking only one random non-target number for 'allNonTargetData' in each participant. Each of the two arrays has the following structure: 'number of epochs' x 'number of EEG channels' (= 3 - Fz, Cz, Pz) x  'number of time samples in each epoch' ( = 1200 - epochs with Fs = 1 kHz extracted between -0.2 s and 1 s relative to stimuli onsets) The original paper describing the experiment and referencing to original raw EEG data:  Mouček, R., Vařeka, L., Prokop, T., Štěbeták, J., & Brůha, P. (2017). Event-related potential data from a guess the number brain-computer interface experimen
brain-computer interface; event-related potential; P300