Overview of the PRNI 2020

Introduction

Speaker	Title	Video Link
Moritz Grosse-Wentrup (U. Vienna)	Introduction & Welcome	click

Keynote Speaker	Title	Video Link
Peter Dayan (MPI for Biological Cybernetics)	Replay in Offline Planning	click
Katharina Dobs (MIT)	Using deep neural networks to understand why we have functional specialization in the human visual system	click
Romy Lorenz (U. Cambridge & Stanford & MPI CBS)	Neuroadaptive technology for cognitive neuroscientists	click

Lecturer	Topic	Title	Video Link
Tonio Ball (U. Freiburg)	Deep Learning	Deep Learning in neuroscience with a focus on EEG	click
Alexandre Gramfort (INRIA)	MEG/EEG Analysis	Hands on machine learning on MEG/EEG data with the MNE software	click
Moritz Grosse-Wentrup (U. Vienna)	Causal Inference	Causal inference in neuroimaging	click
Georg Langs (Med. U. Vienna)	fMRI Analysis	Magnetic Resonance Imaging Analysis via machine learning for structural and functional imaging	click
Máté Lengyel (U. Cambridge & CEU)	Bayesian Inference	Bayesian inference in the brain and for the brain	click
Sebastian Tschiatschek (U. Vienna)	Machine Learning	Machine Learning for Neural Imaging	click
Manuel Zimmer (IMP & U. Vienna)	Calcium Imaging	From connectome to neuronal dynamics to function via whole brain Ca imaging in the nematode C. elegans	click