97 results for "trajectory decoding" · page 2 of 10 · ranked by relevance
…trajectory_start=1, waypoint_miss=16, waypoint_hit=48, trajectory_end=255…
This dataset contains near-infrared spectroscopy (NIRS) recordings from clinical monitoring studies designed to evaluate motion artifact reduction techniques in long-term neuroimaging applications. The study implements collodion-fixed prism-based optical fibers to minimize motion-related artifacts during extended NIRS monitoring sessions, with potential applications in clinical neuroscience research.
Imported from OpenNeuro ds004362
…For a detailed description see: - Developmental trajectory of transmission speed in the…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003522-blue…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.
…participants learned to control the trajectory of a ship, represented by centrally…
Imported from OpenNeuro ds003801
…Real-time decoding with trained decoder ## Preprocessing note The EEG channels were…