…Healthy controls (HC), First-episode Schizophrenia (FESZ), First-episode Affective Psychosis (FEAFF…
EEG dataset from a reinforcement learning task (probabilistic selection task, PST) performed by 50 healthy controls after either a sad or neutral mood manipulation (25 per group). The task has a training phase and a testing phase, and the mood induction took place separately beforehand. Data were collected between 2019 and 2021 at the Cognitive Rhythms and Computation Lab, University of New Mexico.
EEG dataset from a reinforcement learning study of 50 healthy controls, 25 tested after a sad mood manipulation and 25 after a happy mood manipulation. Participants completed a probabilistic selection task with training and testing phases. The task was adapted from a Parkinsonism reinforcement learning paradigm, and the mood manipulation was delivered before each training block.
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.
…Social Cognitive And Affective Neuroscience, nsaf101. doi: https://doi.org/10.1093…
An EEG and behavioural dataset in which participants viewed images of scenes (stairs) and rated either their aesthetic properties (beauty, complexity, interestingness) or their appropriateness for a reading or social activity. The dataset investigates cortical responses to environmental affordances and the intention to act. It includes raw EEG, behavioural ratings extracted from EEG events, and the full stimulus set with identifiable file names.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003774-blue…
This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
…Association for Computing Machinery, New York, NY, USA, 178–186. https://doi…
…Applications include AR/VR text input, mobile computing, and hands-free communication…