Schulz, E.: Using structure to explore efficiently. Max-Planck-Institut für Kognitions- und Neurowissenschaften, Leipzig, Germany (2019)

Werner, A.: Computation of object size: bees perceive the Ebbinghaus-Illusion. International Conference on Invertebrate Vision (ICIV 2019), Kristianstad, Sweden (2019)

Zhaoping, L.: The primary visual cortex as a center stage for vision: bottom-up visual selection and top-down visual recognition. 6th ESI Systems Neuroscience Conference 2019: The recurrent cortex: feedback, dynamics, and dimensionality , Frankfurt a.M., Germany (2019)

Angelovski, G.: Paramagnetic and bioresponsive MRI agents. Institute of Chemical Biology and Fundamental Medicine: Siberian Branch of the Russian Academy of Sciences , Novosibirsk, Russia (2019)

Avdievich, N.: Combined Surface Loop / Dipole-like Elements Enhance Central SNR of a Human Head Phased Array at 9.4T: Experimental Validation of UISNR Theory. IV International Conference on Metamaterials and Nanophotonics (METANANO 2019), St. Petersburg, Russia (2019)

Dayan, P.: Reinforcement learning. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)

Dayan, P.: Theoretical approaches to function and dysfunction. 2019 Computational Psychiatry Summer Course, New York, NY, USA (2019)

Dayan, P.: Slothful serial: perilous parallel processing. Workshop Heuristics, Hacks and Habits: 41st Annual Meeting of the Cognitive Science Society (COGSCI 2019), Montréal, Canada (2019)

Levina, A.: Optimization of computational capabilities by poising neuronal systems close to criticality. Workshop W13: Integrative Theories of Cortical Function, 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)

Levina, A.: Influence of spatial structure on data processing and phase transitions in neuronal networks. Workshop W20: Phase Transitions in Brain Networks, 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)

Schulz, E.: Using structure to explore efficiently. Structure for Efficient Reinforcement Learning (SERL 2019): Workshop at the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making , Montréal, Canada (2019)

Stelzer, J.: Artificial Intelligence in Imaging. S3martMed Webinar: AI in Medical Technology Innovative Projects across Europe (2019)

Yu, X.: Mapping the neuro-glio-vascular interactions with multi-modal fMRI. INT Symposium on "Advanced Photonic Imaging in Neuroscience" (APIN 2019), Marseille, France (2019)

Yu, X.: Bridge the functional and hemodynamic brain mapping with multi-modal fMRI. 4th Summer Conference of the European Society for Molecular Imaging: Hot Topics in Imaging Technology (TOPIM TECH 2019): Resolution Revolution, Chania, Greece (2019)

Yu, X.: Basic Introduction into the principles, advantages, and limitations of (f)MRI. 4th Summer Conference of the European Society for Molecular Imaging: Hot Topics in Imaging Technology (TOPIM TECH 2019): Resolution Revolution, Chenia, Greece (2019)

Borozdina, Y.: Biocompatible macromolecular conjugates for hyperpolarized MRI applications. Annual Conference of the Architects of Nano-hybrid Compounds: Toward Material and Biological Applications (Nanohybrides 16), Porquerolles Island, France (2019)

Bülthoff, H.: How to control a Personal Aerial Vehicle: A perspective from basic research on human perception and cognition. Hyundai Motor Group Technical Meeting, Hwaseong-si, South Korea (2019)

Dayan, P.: Decision-making and some of its Discontents. 9th IMPRS NeuroCom Summer School in Cognitive Neuroscience , Leipzig, Germany (2019)

Dayan, P.: Savouring and its Modulation by Prediction Errors. NEUREX Workshop: Neuroeconomics: Studying Decision Making in an Economic Context, Strasbourg, France (2019)

Li, J.; Robson, D.: A nonlinear oscillator coordinates brain-wide motivational state during foraging. The Brain Conferences 2019: Dynamics of the brain: temporal aspects of computation , Rungstedgaard, Denmark (2019)