BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)
…under ambulatory conditions, with trials temporally divided into training, validation, and test…
- Participants
- 15
- Size
- 79.7 MB
- Version
- v1.0.1
- Updated
- Jun 23, 2026
100 results for "temporal processing" · page 6 of 10 · ranked by relevance
…under ambulatory conditions, with trials temporally divided into training, validation, and test…
…sequential temporal split - **Evaluation type**: temporal_validation ## Performance (Original Study) - **Auc**: 0…
Imported from OpenNeuro ds005028
…FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central…
This dataset contains EEG recordings from Experiment 2 of a study investigating whether memory reactivation levels are affected by anticipated interference during a dual-task paradigm. Participants performed a visual working memory task with varying cognitive load (single vs. dual task conditions), where they memorized lateral objects and later identified them among probes, with half the blocks including distractor identification tasks. The dataset includes raw EEG data collected during this experiment. For preprocessing details, see the related preprint and OSF repository listed in related_identifiers.
[ or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.
…and inferior temporal regions also involved in mathematical processing, whose activation is…
This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
…Signal Processing - **Classifiers**: LDA with shrinkage - **Feature extraction**: spatio-temporal features, averaged…