Collaborative rule learning promotes interbrain information alignment
[ 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.
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
…These tasks were optimized to capture neural activity manifest in perception, cognition…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004000-blue…
…array of investigations into normal cognition and mood regulation. This dataset is…
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
…a core component of social cognition, engaging spatially distributed and temporally evolving…
…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004019-blue…