nikk-nikaznan / SSVEP-Neural-Generative-Models

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Date Created 2019-03-07 (5 years ago)

Commits 12 (last one 3 years ago)

Stargazers 66 (0 this week)

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RepositoryStats indexes 589,134 repositories, of these nikk-nikaznan/SSVEP-Neural-Generative-Models is ranked #386,635 (34th percentile) for total stargazers, and #424,515 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #73,291/117,584.

nikk-nikaznan/SSVEP-Neural-Generative-Models is also tagged with popular topics, for these it's ranked: deep-learning (#6,165/8438), pytorch (#4,342/5977), generative-adversarial-network (#276/371)

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nikk-nikaznan/SSVEP-Neural-Generative-Models has Github issues enabled, there are 3 open issues and 3 closed issues.

Homepage URL: https://arxiv.org/pdf/1901.07429.pdf

All Topics

ssvep pytorch eeg-signals deep-learning generative-adversarial-network

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updated: 2024-11-05 @ 02:06pm, id: 174336868 / R_kgDOCmQrZA