Mirror openbmi-erp 37-45: sub-38_ses-1_task-p300_run-1_recording-train_eeg.json

openbmi/ERP/sub-38/ses-1/eeg/sub-38_ses-1_task-p300_run-1_recording-train_eeg.json

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+{
+	"TaskName": "p300",
+	"Manufacturer": "Brain Products",
+	"PowerLineFrequency": 60.0,
+	"SamplingFrequency": 1000.0,
+	"SoftwareFilters": "n/a",
+	"RecordingDuration": 952.999,
+	"RecordingType": "continuous",
+	"EEGReference": "nasion",
+	"EEGGround": "AFz",
+	"EEGPlacementScheme": "10-05 system",
+	"EEGChannelCount": 62,
+	"EOGChannelCount": 0,
+	"ECGChannelCount": 0,
+	"EMGChannelCount": 4,
+	"TriggerChannelCount": 0,
+	"ManufacturersModelName": "BrainAmp",
+	"SoftwareVersions": "OpenBMI",
+	"CapManufacturer": "Brain Products",
+	"HardwareFilters": "n/a",
+	"TaskDescription": "[copy_spelling] 36-symbol ERP row-column speller with random-set presentation and face stimuli, offline training and online test phases ISI: 135.0ms, SOA: 215.0ms.",
+	"Instructions": "Subjects were asked to copy-spell given sentences by gazing at target characters on screen. In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN RECOGNITION MACHINE LEARNING' (36 characters). Participants counted number of times each target character flashed.",
+	"CogAtlasID": "https://www.cognitiveatlas.org/task/id/tsk_GxjZBNiJorj1K/",
+	"InstitutionName": "Korea University",
+	"InstitutionAddress": "145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea",
+	"InstitutionalDepartmentName": "Department of Brain and Cognitive Engineering",
+	"CapManufacturersModelName": "n/a",
+	"SubjectArtefactDescription": "Impedance kept below 10 kOhm",
+	"DeviceSerialNumber": "n/a",
+	"Description": "EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy",
+	"MISCChannelCount": 0
+}