Past Meetings

Past Meetings

Nov 10, 2023 | Guest Talk

Mariya Toneva (MPI for Software Systems)[Video]: “Convergence and divergence between language models and human brains”


Sep 15, 2023 | Guest Talk

Felix Biessmann (BHT, Berlin)[Video]: “Code Reviews, Testing and Documentation - Improving Processes in Data-Driven Software Development”


July 7, 2023 | Journal Club

Nadine Herzog (MPI CBS): Kovalev, Mikheev, & Ossadtchi, “fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships“, arXiv, 2023


July 7, 2023 | Guest Talk

Kamila Jozwik (MIT, University of Cambridge)[Video]: “Disentangling and modelling face perception (Paper1) and animacy representation (Paper2)”


April 26, 2023 | Guest Talk

Fabian Sinz (Georg-August-Universität Göttingen): “Exploring the Visual System with Functional Digital Twins and Inception Loops”


January 13, 2023 | Guest Talk

Casper Hesp (UvA, UCL)[Video]: “Synergistic active inference and its applications for interpreting, predicting, and participating in complex adaptive systems”


December 16, 2022 | Guest Talk

Drew Linsley (Brown University)[Video]: “Harmonizing the object recognition strategies of deep neural networks with humans”


02.12.2022 | Guest Talk

Greta Tuckute (MIT)[Video]: Many but not all deep neural network audio models capture brain responses and exhibit hierarchical region correspondence [preprint]


14.10.2022 | Guest Talk

Laurent Caplette (Yale)[Video]: “Characterizing mental representations using deep image synthesis and behavior”


15.07.2022 | Guest Talk

Ole Goltermann Rena Bayramova (Max Planck School of Cognition)[Video]: “Explainable AI for higher cognitive functions”


10.06.2022 | Guest Talk

Gabriëlle Ras (Donders Institute, Nijmegen)[Video]: “An introduction to explainable deep learning”


29.04.2022| Guest Talk

Johannes Jäger (Complexity Science Hub, Vienna)[Video]: “How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence”


29.03.2022 | Guest Talk

Joscha Bach (Intel Labs)[Video]: “Vectors of Intelligence: making sense of intelligent systems with universal capabilities”


14.12.2021 | Guest Talk

Andrew Brock (DeepMind)[Video]: "Understanding when Deep Nets are trainable: Busting Batchnorm, Clipping Gradients, and Plotting Everything"


19.11.2021 | Guest Talk

Raphael Köster (DeepMind): "Human-centred mechanism design with democratic AI research"


08.11.2021 | Guest Talk

Apurva Ratan Murty (MIT)[Video]:  "Organization of the ventral visual cortex: Developmental origins and encoding models"


01.10.2021 | Philosophical Discourse 

Rowan Sommers (MPI for Psycholinguistics)[Video]:  "When connectionism met semantics"


17.09.2021 | Guest Talk

João Sacramento (ETH Zurich)[Slides]: "A contrastive rule for meta-learning"


19.07.2021 | Guest Talk

Simon Kornblith (Google Brain)[Video]: "Understanding neural networks from a representational perspective: effects of width and depth"


09.07.2021 | Peer-reading Club

Simon M. HofmannNico Scherf, & Katja Seeliger (MPI CBS): Cross et al. "Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments" (Neuron, 2021)


25.06.2021 | Guest Talk

Lorenz Deserno (Uni Würzburg): "The role of dopamine in model-based behavior"


14.06.2021 | Guest Talk

Yaniv Morgenstern (Justus Liebig University Giessen): "Towards understanding human shape representation with image-computable models"


11.06.2021 | Guest Talk

Grace W. Lindsay (University College London) [Video]: "Dissecting how recurrent neural networks process noisy images"


14.05.2021 | Guest Talk

Stéphane Deny (Facebook AI) [Video, Slides]: "Redundancy Reduction: A Powerful Principle for Neuroscience and AI"


16. & 23. 04.2021 | Tools & Techniques

Mina Jamshidi Idaji (MPI CBS) [Jupyter Notebooks]: "Graph theory: A primer"


28.08.2020 | Tools & Techniques

Tilman Stephani (MPI CBS) [Jupyter Notebook]: „Primer on Structural Equation Modeling“


17.07.2020 | Guest Talk

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 GastDaniel 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 | 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 | Tools & Techniques

Nico Scherf (MPI CBS, 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 (MPI CBS) [Slides]: Conference on Cognitive Computational Neuroscience Conference 2019


30.08.2019 | Journal Club

Kornelius Podranski (MPI CBS, 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 (MPI CBS, Fraunhofer HHI) [Slides]: "Deep Learning: A primer"


05.07.2019 | Journal Club

Peng Wang (MPI CBS, 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 (MPI CBS, University of Cambridge): 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 (MPI CBS, O'BRAIN LAB): "Reliance on model-based and model-free control in obesity"


12.04.2019 | Journal Club

Aroma Dabas (MPI CBS) & Nadene Dermody (University of Cambridge): Gershman, "What does the free energy principle tell us about the brain?", arXiv, 2019


29.03.2019 | Tools & Techniques

Richard Gast & Thomas Knoesche (MPI CBS) [Video-Slides]: "The Free Energy Principle - A deeper mathematical dive"


15.03.2019 | Journal Club

Alessandro Braga (MPI CBS, University of Leipzig) [Slides]: Corlett et al., "Hallucinations and Strong Priors", TiCS, 2019


15.02.2019 | Philosophical Discourse   

Richard Gast (MPI CBS, MEG and Cortical Networks Group) [Audio]: "The Free Energy Principle - A conceptual and mathematical introduction"


01.02.2019 | Research Presentation

Maria Waltmann (MPI CBS, 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 (MPI CBS): "Models of the world for novel inference"


07.12.2018 | Research Presentation

Kathleen Wiencke (MPI CBS, O'BRAIN LAB): "Dopamine, Reinforcement Learning and Obesity"


22.11.2018 | Research Presentation

Vincent Chien (MPI CBS, MEG and Cortical Networks Group): "A generic deviance detection principle for cortical On/Off responses, omission response, and mismatch negativity"

Simon M. Hofmann (MPI CBS, Fraunhofer HHI)[Paper]: "EEG decoding of subjective experience in a naturalistic VR experience"


08.11.2018 | Journal Club

Simon M. Hofmann & Romy Lorenz [Slides]: Kriegeskorte & Douglas, "Cognitive computational neuroscience", Nature Neuroscience, 2018


19.10.2018 | Kickoff

CBS CoCoNUT was born!


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