EEG: Reinforcement Learning in Parkinson's
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
- Participants
- 56
- Channels
- 67 (10-10)
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "sensorimotor cortex" · page 8 of 10 · ranked by relevance
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…
This dataset comprises magnetoencephalography (MEG) recordings from participants performing the cued Alternating Serial Reaction Time (ASRT) task, a visuo-motor paradigm requiring rapid responses to directional arrow cues. The ASRT task is designed to investigate implicit learning of sequential regularities embedded within pseudo-random stimulus sequences. This dataset enables investigation of neural mechanisms underlying statistical learning.
…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…On the motor cortex stimulation amplitude was sometimes reduced to 1 or…
The Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging dataset enables investigation of neural mechanisms underlying object recognition in natural scenes by combining high spatial resolution (fMRI) with high temporal resolution (EEG/MEG) recordings, addressing limitations of single-modality approaches in characterizing both spatial representation patterns and temporal dynamics of visual cognitive processing.
…brain-computer interfaces, machine learning, random forests, regularized linear discriminant analysis, sensorimotor…
This dataset contains raw MEG recordings, anatomical T1-weighted MRI scans, and behavioral data from an audiovisual speech memory study. Participants performed a three-phase task involving encoding of audiovisual speech movies with synchrony judgments, a distractor task, and retrieval of speech memories cued by speaker faces. The study investigates how neocortical and hippocampal theta oscillations support audiovisual integration and memory replay of speech information.