…The ability to perceive moving objects is crucial for threat identification and…
…The ability to perceive moving objects is crucial for threat identification and…
Magnetoencephalography (MEG) recordings from 20 adult participants viewing simple geometric shapes such as hexagons, triangles and quadrilaterals. The dataset supports a study of how the human brain encodes geometric regularity, including symmetries and parallelism, and contrasts it with visual processing in convolutional neural networks and transformer models. It is released anonymized and defaced in BIDS format, alongside a companion fMRI dataset.
…personal preference. Participants were asked to keep their eyes closed, and all…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.
…For the caudal and cranial rings, electrodes were placed approximately 2 cm…
MEG recordings from participants performing a localizer task and a risky decision-making task, used to study how heuristics in risky choice relate to preferential neural representation of information. The dataset includes raw MEG with photodiode-derived event timing, event information tables, and preprocessed epoched data for the localizer and choice phases.
…sensor net and are suitable for investigating neural representations of object categories…
[.