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### Prediction Error EEG & Motion Study This is the dataset of the study "prediction error". In short, 19 participants were tested in a virtual reality (VR) reach-to-object task. In the task participants experienced visual, visual with vibrotactile or visual with vibrotactile (all subjects) and electrical muscle stimulation (EMS) feedback (10 subjects) . In 25\% of trials the feedback, 'button selection', was provided prematurely, resulting in prediction error / mismatch ERPs (oddball style para

Participants

19

Size

10.6 GB

This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized (memory) or just listened to (control condition) sequences of 5, 9, or 13 digits presented auditorily with 2 second stimulus onset asynchrony. The dataset can be used for (1)

Participants

65

Size

100 GB

Dataset description This dataset is part of a bigger dataset of intracranial EEG (iEEG) called RESPect (Registry for Epilepsy Surgery Patients), a dataset recorded at the University Medical Center of Utrecht, the Netherlands. It consists of 12 patients: six patients recorded intraoperatively using electrocorticography (acute ECoG), six patients with long-term recordings (3 patients recorded with ECoG and 3 patients recorded with stereo-encephalography SEEG). For a detailed description see (Demu

Participants

6

Size

2.60 GB

Experiment Details Human electroencephalography recordings from 50 subjects for 1,854 concepts and 22,248 images in the THINGS stimulus database. Images were presented in rapid serial visual presentation streams at 10Hz rates. Participants performed an orthogonal fixation colour change detection task. Experiment length: 1 hour More information: https://osf.io/hd6zk/ (osf repository with more information and example analysis code) Grootswagers, T., Zhou, I., Robinson, A.K. et al. Human EEG r

Participants

50

Size

41.2 GB

RL task in N=25 college age participants. Data collected circa 2018 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] is now coming out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this task would be to read that paper first. I've included additional scripts to help understand stimulus triggers etc. These additional scripts were for a secondary analysis: they were not t

Participants

25

Size

5.82 GB

RL task in N=25 college age participants. Data collected circa 2019 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] Should be coming out in Cognitive, Affective, & Behavioral Neuroscience. THIS IS EXPERIMENT #2. Your best bet for understanding this task would be to read that paper first. Note we have since made minor adjustments to the task which really enhance the ability to resolve the RewP. I also hav

Participants

25

Size

4.62 GB

> Introduction This experiment was designed to study the effects of different sensory modalities (auditory, visual, and audio-visual) on brain entrainment. The EEG data was collected from a young healthy volunteer (23 years old male). Recently, gamma entrainment based on individual (auditory or visual) sensory stimulation as well as simultaneous auditory and visual stimulation have been proposed and shown effective in improving several symptoms of Alzheimer's Diseases (AD) in mice and humans. T

Participants

1

Size

8.80 MB

> Introduction This experiment was designed to entrain the brain oscillations through synthetic auditory stimulation conducted on a group of elderly suffering from dementia. Recently, gamma entrainment has been proposed and shown effective in improving several symptoms of Alzheimer's Diseases (AD). The aim of this study is to investigate the effect of entrainment on brain oscillations using EEG signal recording during the auditory brain stimulation. This study was approved by the Review Board

Participants

13

Size

189 MB

This dataset consists of electroencephalography (EEG) signals adquired with a low-cost consumer-grade device. The 10 participants had no previous BCI experience. The BCI protocol consisted of two conditions, namely the kinesthetic imagination of grasping movement (MI) of the dominant hand and rest/idle condition.Five protocol runs were asked to be performed by the user. The first run, called RUN0, involved real grasping movement in order to better explain the protocol and to help the subject to

Participants

10

Size

69.0 MB