Showing 10 of 645 datasets · page 42 of 65
EEG data for Grootswagers et al 2021 experiment 2 (small objects on big letters) Grootswagers T., Robinson A.K., Shatek S.M., Carlson T.A. (2021). The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data Analysis, and Theory, 5(1) https://doi.org/10.51628/001c.19129 See also https://osf.io/7zhwp/ and https://openneuro.org/datasets/ds004816
### Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a categorized free recall task. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalling the words from the just-presented list in any order. The data w
The Nencki-Symfonia EEG/ERP dataset (dataset DOI: doi.org/10.5524/100990) Description: mixed cognitive tasks [(i) an extended multi-source interference task, MSIT+; (ii) a 3-stimuli oddball task; (iii) a control, simple reaction task, SRT; and (iv) a resting-state protocol] Please cite the following references if you use these data: 1. Dzianok P, Antonova I, Wojciechowski J, Dreszer J, Kublik E. The Nencki-Symfonia electroencephalography/event-related potential dataset: Multiple cognitive task
### Delayed Free Recall of Word Lists #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a delayed free recall task. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalling the words from the just-presented list in any order. The data was collected at clinical sites across the country as part of a
Electroencephalography data for paper titled "Precise cortical contributions to feedback sensorimotor control during reactive balance"
EEG data for the Python reading task (acceptability judgments) described in [Kuo, C-H. and Prat, C.S. Programmers show distinct, language-like brain responses to violations in form and meaning when reading code], pending submission to Nature Communications. This study recruited 62 total subjects. 1 subject did not complete the EEG session and was removed from all analyses and is not included in this dataset. The remaining 61 individuals' EEG data are included. The participants info file contain
Dataset of intracranial EEG from human epilepsy patients performing a visuospatial working memory task Description: We present an electrophysiological dataset recorded from ten subjects during a visuospatial working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects completed 60 trials (five sessions) of Memory Matrix - a visuospatial working memory game on the Lumosity platform (https://www.lumosity.com/; Lumos Labs
# Images of stylized faces improve ERP features used for emotion detection For their ease of accessibility and low cost, current Brain-Computer Interfaces (BCI) used to detect subjective emotional and affective states rely largely on electroencephalographic (EEG) signals. Numerous datasets are publicly available for any researcher to design models for affect detection from EEG. However, few designs focus on optimally exploiting the nature of the stimulus elicitation to improve accuracy. We foun
### Dataset of intracranial EEG, scalp EEG and beamforming sources from human epilepsy patients performing a verbal working memory task #### Description We present an electrophysiological dataset recorded from fifteen subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally sepa