2 papers
q-bio.NC2019
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…
cs.NE2019
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…