Search Results for author: Theoklitos Amvrosiadis

Found 5 papers, 2 papers with code

Mixed vine copula flows for flexible modelling of neural dependencies

no code implementations11 Jul 2022 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 performance of brain computer interfaces.

Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks

no code implementations25 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.

Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN

1 code implementation1 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.

Generative Adversarial Network

Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN

1 code implementation6 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.

Generative Adversarial Network

Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships

no code implementations3 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.

Density Estimation

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