…org/10.82901/nemar.on004515) Affective state reinforcement learning task in N…
…Healthy controls (HC), First-episode Schizophrenia (FESZ), First-episode Affective Psychosis (FEAFF…
…Auditory listening task - Participants listen to prerecorded speech stimuli - **listeningcovert**: Auditory listening…
EEG recordings from an auditory oddball task collected at the Meditation Research Institute in Rishikesh, India. Participants completed three sessions of a P300 paradigm with standard tones, oddball tones and white-noise distractors while sitting with their eyes closed in a darkened room. The dataset supports research on auditory event-related potentials and attention.
SINGSING is a simultaneous EEG and MEG dataset from twenty adult participants who listened to harmonic complex sounds that varied in frequency in an auditory oddball paradigm. It supports investigation of pre-attentive pitch processing at sensor and source levels, and allows comparison of EEG and MEG recordings acquired at the same time.
The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.
[, and galvanic skin response (GSR) recordings from 23 healthy adults. Participants took part in a naturalistic smartphone use condition and a standardized video viewing condition. Hardware TTL pulses synchronize the EEG and eye-tracking streams for temporal alignment across modalities.
…rated the arousal of 48 affective images paired with semantically matching sounds…
High-density EEG recorded from resting, eyes-closed participants who used voice-guided imagery to enter 15 distinct emotional states, including positive states such as joy and negative states such as sadness and anger. Participants pressed a button when they began to feel the target emotion and again when the feeling waned, with relaxation instructions between the imagery periods. The dataset supports research on EEG-based emotion recognition and brain state dynamics during emotion imagination.