no code implementations • 25 Nov 2021 • Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken
We develop an end-to-end pipeline to preprocess, train and evaluate calcium fluorescence signals, and a procedure to interpret the resulting deep learning models.
1 code implementation • 1 Jan 2021 • Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken
Calcium imaging has become a powerful and popular technique to monitor the activity of large populations of neurons in vivo.
1 code implementation • 6 Sep 2020 • Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort, Arno Onken
Here, we propose a Generative Adversarial Network (GAN) model to generate realistic calcium signals as seen in neuronal somata with calcium imaging.
no code implementations • 3 Aug 2020 • Nina Kudryashova, Theoklitos Amvrosiadis, Nathalie Dupuy, Nathalie Rochefort, Arno Onken
When the exact density estimation with a parametric model is not possible, our Copula-GP model is still able to provide reasonable information estimates, close to the ground truth and comparable to those obtained with a neural network estimator.