meiyor / Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu

Date Created 2020-06-05 (4 years ago)

Commits 223 (last one 2 months ago)

Stargazers 47 (0 this week)

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RepositoryStats indexes 633,559 repositories, of these meiyor/Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals is ranked #508,848 (20th percentile) for total stargazers, and #418,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #99,893/129,482.

meiyor/Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals is also tagged with popular topics, for these it's ranked: deep-learning (#7,511/8818), cnn (#487/573), convolutional-neural-networks (#507/570)

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Homepage URL: https://www.lernerlab.com/

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cnn autism deep-learning autism-spectrum-disorder convolutional-neural-networks

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updated: 2025-03-24 @ 01:57pm, id: 269774753 / R_kgDOEBRvoQ