…Cognitive and neuropsychological state was evaluated by the international Mini-Mental State…
…nemar.nm000377) # Human Responses to Visually Evoked Threat — intracranial EEG (3 patients…
…We visually inspected the data and selected one optimal channel with high…
Alljoined-1.6M is a large-scale EEG dataset of neural responses to rapid serial visual presentation of natural images from the THINGS database. It was recorded with a consumer-grade 32-channel EMOTIV FLEX2 system in 20 adult participants over four sessions each, yielding more than 1.6 million trials. The dataset was built to test whether deep-learning-based brain-computer interface and semantic decoding research can be done with affordable EEG hardware.
…EEG datasets, brain-computer interface, event-related potential, steady-state visually evoked…
Alljoined1 is an EEG dataset of neural responses to natural images presented in a rapid serial visual presentation paradigm, built for EEG-to-image decoding research. Eight healthy adults viewed images from the Natural Scenes Dataset (MS-COCO) while 64-channel BioSemi EEG was recorded across one or two sessions. This BIDS version contains raw BDF recordings of 960 shared images, event tables linked to stimuli, and epoched derivatives from the original authors.
…Kinney-Lang, "A steady-state visual evoked potential-based brain-computer interface…
…resting state (eyes open, fixation cross) Run numbering ------------- - task-train: run-01…
This dataset contains electrocorticography (ECoG) recordings from two human participants viewing visual stimuli, including high-contrast vertical gratings and noise patterns with different spatial frequencies and spectral power distributions. Participants fixated on a central dot that changed color at random times. The data were used to study stimulus dependence of gamma oscillations and the relationship between neuronal synchrony, BOLD response, and the local field potential in human visual cortex.
This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.