
Past Meetings
28.08.2020 | Methods talk
Tilman Stephani (MPI CBS) : „Primer on Structural Equation Modeling“
17.07.2020 | Research Presentation
Vanessa Scholz (Donders Institute) : "Too much or too little? The clinical relevance of cognitive control over motivational biases in decision making"
03.07.2020 | Tools & Techniques
Richard Gast & Daniel Rose (MPI CBS) : "Dynamical Systems Approaches to Neuroscience: A Hands-On Introduction via PyRates"
19.06.2020 | Research Presentation
Sofie Valk (MPI CBS) : „Shaping Brain Structure: Genetic and Phylogenetic Axes of Macro Scale Organization of Cortical Thickness“
05.06.2020 | Guest Talk
Kate Storrs (Justus Liebig University Giessen): „Learning About the World By Learning About Images“
22.05.2020 | Research Presentation
Malte Brammerloh (MPI CBS) | "Biophysical modeling of the iron-induced MRI contrast in Substantia Nigra"
08.05.2020 | Research Presentation
Jacob Bellmund (MPI CBS) [Video, Slides]: "Deforming the metric of cognitive maps distorts memory" (Paper)
24.04.2020 | Research Presentation
Aroma Dabas (MPI CBS) [Slides]: "The computational basis of learning induced by episodic simulation"
30.02.2020 | Journal Club
Evelyn Medawar (MPI CBS), Julian D. Rolfes ( MPI KOFO) [Slides, Video-Slides]: "On the statistical mechanics of life: Schrödinger revisited" by Kate Jeffery, Robert Pollack, & Carlo Rovelli (arXiv, 2019)
21.02.2020 | Virtual Guest Talk
Payam Piray ( Princeton Neuroscience Insitute) [Video, Slides]: A common model explaining flexible decision making, grid fields and cognitive control
31.01.2020 | Guest Talk
Wolfram Barfuß ( MPI MiS)[Slides]: "The dynamics of multi-agent reinforcement learning"
17.01.2020 | Guest talk
Nico Scherf (Group Leader at Technical University of Dresden) [Slides, Video-Slides]: "Generative Adversarial Networks (GANs): A Primer"
06.12.2019 | Guest talk
Pau Aceituno ( MPI for Mathematics in the Sciences) [Slides, Video-Slides]: "Reservoir Computing in Neural Modeling"
27.09.2019 | Conference Decompression
Maria Waltmann & Simon M. Hofmann (Neurology)[Slides]: Conference on Cognitive Computational Neuroscience Conference 2019
30.08.2019 | Journal Club
Kornelius Podranski (Neurophysics)[ Slides]: Shwartz-Ziv & Tishby, "Opening the Black Box of Deep Neural Networks via Information", arXiv, 2017
16.08.2019 | Tools & Techniques
Simon M. Hofmann (Department of Neurology)[Slides]: "Deep Learning: A primer"
05.07.2019 | Journal Club
Peng Wang ( MEG & Cortical Neworks Group): Cichy et al., "Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence", Scientific Reports, 2016
21.06.2019 | Journal Club
Romy Lorenz (Department of Neurophysics): Cichy & Kaiser, "Deep Neural Networks as Scientific Models", TiCS, 2019
24.05.2019 | Guest talk
Dirk Ostwald (Freie Universität Berlin, MPI for Human Development): "The neurocomputational mechanisms of human sequential decision making under uncertainty in a spatial search task"
26.04.2019 | Research presentation
Lieneke Janssen (O'BRAIN LAB): "Reliance on model-based and model-free control in obesity"
12.04.2019 | Journal Club
Aroma Dabas & Nadene Dermody presented: Gershman, "What does the free energy principle tell us about the brain?", arXiv, 2019
29.03.2019 | Tools & Techniques
Richard Gast & Thomas Knoesche [Video-Slides]: "The Free Energy Principle - A deeper mathematical dive"
15.03.2019 | Journal Club
Alessandro Braga presented [Slides]: Corlett et al., "Hallucinations and Strong Priors", TiCS, 2019
15.02.2019 | Philosophical discourse
Richard Gast (MEG and Cortical Networks Group) [Audio]: "The Free Energy Principle - A conceptual and mathematical introduction"
01.02.2019 | Research presentation
Maria Waltman (O'BRAIN LAB): "Probing Neurocognitive Flexibility in Binge Eating Disorder and Obesity Using a Reversal Learning Paradigm and Computational Modelling"
18.01.2019 | Research presentation
Mona Garvert (Psychology): "Models of the world for novel inference"
07.12.2018 | Research presentation
Kathleen Wiencke (O'BRAIN LAB): "Dopamine, Reinforcement Learning and Obesity"
22.11.2018 | Research presentation
Vincent Chien (MEG and Cortical Networks Group): "A generic deviance detection principle for cortical On/Off responses, omission response, and mismatch negativity"
Simon Hofmann (Neurology): "EEG decoding of subjective experience in a naturalistic VR experience"
08.11.2018 | Journal Club
Simon Hofmann & Romy Lorenz [ Slides]: Kriegeskorte & Douglas, "Cognitive computational neuroscience", Nature Neuroscience, 2018
19.10.2018 | Kickoff
CBS CoCoNUT was born!