Collaborative rule learning promotes interbrain information alignment
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100 results for "neural representations" · page 6 of 10 · ranked by relevance
…separate out predictive neural activity from sensory evoked neural activity. The study…
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
…The primary goal of this study is to understand the neural underpinnings…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003694-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005777-blue…
Imported from OpenNeuro ds003645
…The neural dynamics underlying prioritisation of task-relevant information. Neurons, Behaviour, Data…