Simulation-based inference and its applications in neuroscience

Appears in collection : 2023 - T1B - WS2 - Networks of spiking neurons

Modern approaches for simulation-based inference build upon deep learning surrogates to enable approximate Bayesian inference with computer simulators. In this talk, we will review the main inference algorithms and discuss some applications specific to neuroscience.

Information about the video

Date of recording 31/03/2023
Date of publication 31/03/2023
Institution IHP
Licence CC BY-NC-ND
Language English
Audience Researchers, Graduate Students
Director(s) Alexandre Duplessis
Format MP4
Venue IHP - Hermite Amphitheater

Citation data

DOI 10.57987/IHP.2023.T1B.WS2.011
Cite this video Louppe, Gilles (31/03/2023). Simulation-based inference and its applications in neuroscience. IHP. Audiovisual resource. DOI: 10.57987/IHP.2023.T1B.WS2.011
URL https://dx.doi.org/10.57987/IHP.2023.T1B.WS2.011