List of Speakers in 2019

Bayesian Modelling

Neural Networks

Signal Processing

Frank Jäkel (Centre for Cognitive Science, TU Darmstadt):

On Bayesian Modeling in Cognitive Science (slides)
 

Philipp Hummel (Neural Information processing, Universität Tübingen): Bayesian Statistics workshop (slides)
 

Lilian Weber 

(Translational Neuromodeling Unit, University of Zurich / ETH Zurich): Modeling Uncertainty in Perception using the Hierarchical Gaussian Filter
 

Peggy Series 

(Institute for Adaptive and Neural Computation, University of Edinburgh): Bayesian Modeling in Application: Computational Psychiatry

 

Falk Lieder 

(Max Planck Institute for Intelligent Systems, Tübingen): Bayesian Modeling in Application: Rationality Enhancement Talk title:  Resource-rational
 

Radoslaw Cichy

(Department of Psychology and Education, Free University Berlin): The Value of Deep Neural Networks for the Scientific Inquiry in the Cognitive Sciences

 

Timo Flesch 

(Department of Experimental Psychology, University of Oxford): Comparing Continual Task Learning in Minds and Machines

 

Stefan Rotter

(Computational Neuroscience Laboratory, Bernstein Center Freiburg): Experience-dependent Structural Plasticity and Network Remodeling

 

Sebastian Spreizer

(Computational Neuroscience Laboratory, Bernstein Center Freiburg): NEST Tutorial

 

Jose Guzman

(Guzman Lab, IMBA Vienna):Modelling the hippocampal function with biologically realistic networks

 

Arvind Kumar

(Division of Computational Science and Technology, KTH Stockholm): When and how does neuron diversity matter?

Ulrich Egert

(Bernstein Center Freiburg): Neurophysiology: measurement and analysis of neural activity


Michael Tangermann 

(Brain State Decoding Lab, University of Freiburg):  Evoked potentials of the EEG: how to record, analyse and use them in a BCI application

 

Benedikt Ehinger

(Predictive Brain Lab, Donders Institute): Deconvolution and Nonlinear Statistical Modelling of EEG


Pierre LeVan 

(Medical Physics, Department of Radiology, Freiburg):

Monitoring whole-brain activity with EEG and fMRI

 

Tonio Ball

(Translational Neurotechnology Lab, University of Freiburg):

Deep Learning for Neuroscience and Neurotechnology