Colloquium by PD Dr. Veronica Witte, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig

Abstract: In this talk I will discuss a link between obesity, diet, and brain health, drawing on...

PhD Colloquium by Fares Abawi, Informatics Dept., University of Hamburg

Abstract:

Social cues influence our attention leading to shifts in our gaze. In this thesis, we integrate non-verbal head-related social cues such as gaze...

Colloquium by Prof. Mriganka Sur, Department of Brain and Cognitive Sciences, MIT

Bio: Prof Mriganka Sur is the Newton Professor of Neuroscience in the Picower Institute for Learning and Memory and Director of the Simons Center for...

The second CML Theory Workshop will take place on December 5, 2024.

Please click here for the workshop programme.

Date and time: December 5, 2024, 9am-1pm
Zoom link:...

PhD Colloquium by Ozan Özdemir, Informatics Dept., University of Hamburg

Abstract:

Despite the progress made by foundational models, the research on embodied language learning continues to lag behind, underscoring the need for...

Colloquium by Dr. Vanessa van Ast, University of Amsterdam

The talk is part of the RTG 2753 Lecture Series “Emotional learning and memory in health and disease”.

Date and time: the 4th of December 2024, 16:00 – 17:30
Venue:...

Colloquium by Dr. Torben Ott, Bernstein Center for Computational Neuroscience Berlin, Humboldt University of Berlin

Abstract: How can we make decisions when we only have imperfect knowledge about future consequences? I will present...

Colloquium by Prof. Christian Ruff, University of Zürich

Abstract: Risk attitude – the willingness to accept uncertainty for the possibility to gain larger rewards – is often seen as a stable personality trait akin to a ‘taste for...

Colloquium by Dr. Kaustubh Patil, Institute of Neurosciences and Medicine (INM) Forschungszentrum Jülich

Abstract: Machine learning (ML) and artificial intelligence (AI) are increasingly being applied to study how individual...

Colloquium by Dr. Christian Klos, University of Bonn

Abstract:

The ability to train spiking neural network models is essential for the modeling of biological neural networks as well as for neuromorphic computing. The standard...