27 citations · 61 across the 10 of their papers we have counts for
3 papers · 1 filter
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina +3
The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different…
Artificial neural networks in action for an automated cell-type classification of biological neural networks
Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis +5
Identification of different neuronal cell types is critical for understanding their contribution to brain functions. Yet, automated and reliable classification of neurons remains a…
Quasar microlensing light curve analysis using deep machine learning
Georgios Vernardos, Grigorios Tsagkatakis
We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated light curves with resp…