Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bryce Allen Bagley"'
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0229083 (2020)
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight
Externí odkaz:
https://doaj.org/article/fc54297a5b654bd19e7cdb2bef7c6891
Autor:
Bryce Allen Bagley, Sergei Petrov, Ge Cheng, Matei Armanasu, Nancy Fischbein, Bin Jiang, Michael Iv, Eric Tranvinh, Michael Zeineh, Olivier Gevaert
Publikováno v:
Tuesday, April 25.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c724bfc3f7a5a3d355410c289901e385
https://doi.org/10.1212/wnl.0000000000204150
https://doi.org/10.1212/wnl.0000000000204150
Autor:
Bryce Allen Bagley, Sergei Petrov, Ge Cheng, Matei Armanasu, Nancy Fischbein, Bin Jiang, Michael Iv, Eric Tranvinh, Michael Zeineh, Olivier Gevaert
Magnetic resonance imaging (MRI) is the dominant diagnostic technique to non-invasively image the brain, and deep learning has proven a powerful tool for analyzing these images. However, machine learning models trained on such MRI data have empirical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2286f3e441a1545dd81f073a65334b8b
https://doi.org/10.1101/2022.09.21.22280206
https://doi.org/10.1101/2022.09.21.22280206
