Interpretable deep learning for deconvolutional analysis of neural signals

Name: Interpretable deep learning for deconvolutional analysis of neural signals
Creator: Bahareh Tolooshams
Published: 2025-03-13T20:45:24.158Z
Keywords: Biological Sciences Mathematical Method

Tolooshams, Bahareh; Matias, Sara; Wu, Hao; Temereanca, Simona; Uchida, Naoshige; Murthy, Venkatesh N.; Masset, Paul; Ba, Demba

doi:10.17632/rzfyr2886h.1

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,

,

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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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United States Army Research Office
North Carolina, United States
Grant ID: W911NF-16-1-0368
National Institutes of Health
Maryland, United States
Grant ID: 5R01DC017311
International Human Frontier Science Program Organization
Grand Est, France
Grant ID: LT000801/2018
Brain & Behavior Research Foundation
New York, United States
Grant ID: 30035
Canada First Research Excellence Fund
Ontario, Canada
Harvard University
Massachusetts, United States

Interpretable deep learning for deconvolutional analysis of neural signals

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