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Zaiss, M.: How to find an exoplanet. 9th Nachwuchsakademie Medizintechnik „Quantitative MRI as key technology in life sciences“ (NAMT 2019), Berlin, Germany (2019)

Zaiss, M.: How Can CEST Reduce Gadolinium Use. 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2019), Rotterdam, The Netherlands (2019)

Besserve, M.: Machine Learning and Neuroscience. Machine Learning Summer School 2019, Moskva, Russia (2019)

Besserve, M.: Machine Learning and Neuroscience: Part 2. Machine Learning Summer School 2019, Moskva, Russia (2019)

Eschenko, O.: Phasic Activation of the Locus Coeruleus: From Local and Distal Effects to Whole-Brain Mapping and Implications for Behavior. Gordon Research Conference: Complexity and Diversity in Catecholamine Neurobiology: From Molecule to Circuits to Behavior , Newry, ME, USA (2019)

Henning, A.: Imaging Human Brain Metabolism Exploiting Ultra-High Field MRI. 21st ISMAR - 15th EUROMAR Jount Conference (EUROISMAR 2019), Berlin, Germany (2019)

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)