Montagskolloquium (MoKo)

Führende Wissenschaftlerinnen und Wissenschaftler aus aller Welt referieren über ihre aktuellen Forschungsprojekte – verständlich auch für Kollegen aus anderen Fachrichtungen. Anschliessend besteht die Möglichkeit zur Diskussion.

Zeit: Montags um 15:00 Uhr (bitte Ankündigung beachten)
Ort: Online via Zoom

Um Ankündigungen zu den Vorträgen zu erhalten, schicken Sie bitte eine Mail an die links aufgeführte Kontaktperson.

From continuous streams to segmented units: Understanding how events structure cognition and memory

Functional ultrasound imaging during behavior

Amygdala circuitry in reward learning & decision making

  • Datum: 11.04.2022
  • Uhrzeit: 17:00 - 18:00
  • Vortragende(r): Kate Wassum
  • Professor, Wenzel/Jeffrey Term Chair in Behavioral Neuroscience, UCLA; Department of Psychology, Brain Research Institute, Integrative Center for Learning & Memory, Integrative Center for Addictive Disorders
  • Ort: Zoom
  • Gastgeber: Peter Dayan (Philipp Schwartenbeck)

Dissecting the neural processes supporting perceptual learning

  • Datum: 28.03.2022
  • Uhrzeit: 14:00 - 15:00
  • Vortragende(r): Wu Li
  • State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
  • Ort: Zoom
  • Gastgeber: Zhaoping Li (Jinyou Zou)

Dynamics of visual cognition: A spatio-temporally resolved and algorithmically explicit account

  • Datum: 28.02.2022
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Radek Cichy
  • Neural Dynamics of Visual Cognition Group, Department of Education and Psychology, Freie Universität Berlin
  • Ort: Zoom
  • Gastgeber: Eric Schulz (Alexander Kipnis)

Attention to visual motion: shaping sensation into perception

  • Datum: 21.02.2022
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Stefan Treue
  • Cognitive Neuroscience Laboratory German Primate Center - Leibniz Institute for Primate Research, Goettingen, Germany
  • Ort: Zoom
  • Gastgeber: Zhaoping Li (Jinyou Zou)

Controversial stimuli: Optimizing experiments to adjudicate among computational hypotheses

Inhibitory connectivity and computations in olfaction

“Mind reading” with brain scanners: Facts versus science fiction

  • Datum: 22.11.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): John-Dylan Haynes
  • Charité - Universitätsmedizin, Berlin, Chair for Theory and Analysis of Large Scale Brain Signals; Director of Berlin Center for Advanced Neuroimaging Bernstein Center for Computational Neuroscience
  • Ort: Zoom
  • Gastgeber: Eric Schulz (Alexander Kipnis)

A Motor Theory of Sleep Control

Rastermap: Extracting structure from high dimensional neural data

Visualizing the multi-scale complexity of the brain

  • Datum: 11.10.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Guo-Qiang Bi, PhD
  • School of Life Sciences, University of Science and Technology of China & Center for Brain Information, Shenzhen Institute of Advanced Technology
  • Ort: Zoom
  • Gastgeber: Jinyou Zou

Cellular and Molecular basis of protein-specific appetite

  • Datum: 27.09.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Qili Liu
  • Assistant Professor, Department of Anatomy, Kavli Institute for Fundamental Neuroscience
  • Ort: Zoom
  • Gastgeber: Lilian de Sardenberg Schmid

The role of motion in localizing objects

  • Datum: 13.09.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Patrick Cavanagh
  • Senior Research Fellow and Adjunct Professor, Department of Psychology, Glendon College & Research Professor, Department of Psychological and Brain Research, Dartmouth College
  • Ort: Zoom

Non-invasive control using Sonogenetics

  • Datum: 19.07.2021
  • Uhrzeit: 16:00 - 17:00
  • Vortragende(r): Sreekanth Chalasani
  • Associate Professor, Salk Institute, La Jolla, CA
  • Ort: Zoom

Stereo vision in humans and insects

  • Datum: 05.07.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Jenny Read
  • Institute of Neuroscience, Newcastle University
  • Ort: Zoom

A statistical theory of cold-posteriors, semi-supervised learning and out-of-distribution detection

  • Datum: 21.06.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Laurence Aitchison
  • Senior Lecturer in Machine Learning and Computational Neuroscience, University of Bristol, UK
  • Ort: Zoom

Knowledge partitioning in humans and neural networks

  • Datum: 07.06.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Christopher Summerfield
  • Professor of Cognitive Neuroscience, Experimental Psychology, Oxford University
  • Ort: Zoom

Deep meta-learning

  • Datum: 10.05.2021
  • Uhrzeit: 15:00 - 16:00
  • Vortragende(r): Matthew Botvinick
  • Director of Neuroscience Research, Team Lead in AI Research, DeepMind & Honorary Professor, Gatsby Computational Neuroscience Unit, University College London
  • Ort: Zoom
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