Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

2 code implementations • 12 Jul 2024 • Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S Ecker

To address this gap, we established the Sensorium 2023 Benchmark Competition with dynamic input, featuring a new large-scale dataset from the primary visual cortex of ten mice.

Benchmarking Pupil Dilation

Building population models for large-scale neural recordings: opportunities and pitfalls

no code implementations • 3 Feb 2021 • Cole Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig

Modern recording technologies now enable simultaneous recording from large numbers of neurons.

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

no code implementations • 3 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