Narrative Reward
[ from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 trials of photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects) with 72 unique images per category, each presented for 500 ms. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
…The goal was to reveal whether temporal expectation influences initial sensory processing…
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.
…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.
…10.82901/nemar.on006866) # Emotion Processing and Regulation Task (Static Stimuli) — EEG…
VocalMind is a stereotactic EEG (sEEG) dataset comprising intracranial recordings from one participant performing vocalized, mimed, and imagined speech tasks in Mandarin Chinese, a tonal language. The dataset supports research on speech decoding, brain-computer interfaces, and neural mechanisms of overt and covert speech production. Raw recordings sampled at 1000 Hz were converted to BIDS iEEG format with event markers indicating stimulus onsets for each speech modality.