35 citations · 78 across the 11 of their papers we have counts for
11 papers
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová +22
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural…
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions
Salvatore Esposito, Qingshan Xu, Kacper Kania +6
We introduce a new generative approach for synthesizing 3D geometry and images from single-view collections. Most existing approaches predict volumetric density to render multi-vie…
V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort +1
Accurate predictive models of the visual cortex neural response to natural visual stimuli remain a challenge in computational neuroscience. In this work, we introduce V1T, a novel…
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…
Building population models for large-scale neural recordings: opportunities and pitfalls
Cole Hurwitz, Nina Kudryashova, Arno Onken +1
Modern recording technologies now enable simultaneous recording from large numbers of neurons. This has driven the development of new statistical models for analyzing and interpret…
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…
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
Bennet Breier, Arno Onken
Semmelhack et al. (2014) have achieved high classification accuracy in distinguishing swim bouts of zebrafish using a Support Vector Machine (SVM). Convolutional Neural Networks (C…
Neural System Identification with Spike-triggered Non-negative Matrix Factorization
Shanshan Jia, Zhaofei Yu, Arno Onken +3
Neuronal circuits formed in the brain are complex with intricate connection patterns. Such complexity is also observed in the retina as a relatively simple neuronal circuit. A reti…
Information estimation using nonparametric copulas
Houman Safaai, Arno Onken, Christopher D. Harvey +1
Estimation of mutual information between random variables has become crucial in a range of fields, from physics to neuroscience to finance. Estimating information accurately over a…