4 papers
Mixed vine copula flows for flexible modelling of neural dependencies
Lazaros Mitskopoulos, Theoklitos Amvrosiadis, Arno Onken
Recordings of complex neural population responses provide a unique opportunity for advancing our understanding of neural information processing at multiple scales and improving per…
Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks
Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort +1
Understanding how activity in neural circuits reshapes following task learning could reveal fundamental mechanisms of learning. Thanks to the recent advances in neural imaging tech…
Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN
Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort +1
Calcium imaging has become a powerful and popular technique to monitor the activity of large populations of neurons in vivo. However, for ethical considerations and despite recent…
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
Nina Kudryashova, Theoklitos Amvrosiadis, Nathalie Dupuy +2
One of the main challenges in current systems neuroscience is the analysis of high-dimensional neuronal and behavioral data that are characterized by different statistics and times…