2023
DOI: 10.3390/app13095472
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An Overview of Open Source Deep Learning-Based Libraries for Neuroscience

Abstract: In recent years, deep learning has revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publications present applications of deep neural networks for biomedical data analysis. Due to the fast growth of the domain, it could be a complicated and extremely time-consuming task for worldwide researchers to have a clear perspective of the most recent and advanced software libraries. This work … Show more

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“…Despite several deep learning frameworks having been developed for the analysis of EEG data, a library focused on the construction of self-supervised learning pipelines on EEG data is still not available to the best of our knowledge, hindering the advancement of the scientific knowledge and the progress in the field. A comprehensive review of open-source projects related to neuroscientific data analysis is provided in (Tshimanga et al, 2023). A few examples are EEG-DL (Hou et al, Feb. 2020) and torchEEG (Zhang et al, 2024), which characterized for their completeness and spread among the neuroscientific community.…”
Section: Related Open-source Projectsmentioning
confidence: 99%
“…Despite several deep learning frameworks having been developed for the analysis of EEG data, a library focused on the construction of self-supervised learning pipelines on EEG data is still not available to the best of our knowledge, hindering the advancement of the scientific knowledge and the progress in the field. A comprehensive review of open-source projects related to neuroscientific data analysis is provided in (Tshimanga et al, 2023). A few examples are EEG-DL (Hou et al, Feb. 2020) and torchEEG (Zhang et al, 2024), which characterized for their completeness and spread among the neuroscientific community.…”
Section: Related Open-source Projectsmentioning
confidence: 99%