Interpretable deep learning for deconvolutional analysis of neural signals
Published: 13 March 2025| Version 1 | DOI: 10.17632/rzfyr2886h.1
Contributors:
Bahareh Tolooshams, , Hao Wu, , , , , Description
Data for the paper on "Interpretable deep learning for deconvolutional analysis of neural signals". Checkout the github https://github.com/btolooshams/dunl-compneuro
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Categories
Biological Sciences Mathematical Method
Funding
United States Army Research Office
W911NF-16-1-0368
National Institutes of Health
5R01DC017311
International Human Frontier Science Program Organization
LT000801/2018
Brain & Behavior Research Foundation
30035
Canada First Research Excellence Fund
Harvard University