Thursday Morning Talk

Machine learning tools have already been used to identify individual animals such as but not limited to pandas, black bears, cows and dogs. These tools can help to improve the

Abstract:  Collective motion is a familiar sight in nature; groups of distinct, self-propelled individuals appear to move as a coherent whole, exhibiting a rich behavioral repertoire that ranges from directed

Abstract:  A tutorial on Open Science practices with a focus on pre-registration, going through the process step-by-step, including a live experimental data collection. This talk will take place in person

More details to follow. This talk will take place in person at SCIoI. Photo by Markus Spiske on Unsplash.  

More details to follow. This talk will take place in person at SCIoI. Photo by Katja Anokhina on Unsplash.  

Daniela Vallentin is a neuroscientist and currently the Lise Meitner Reseach Group Leader at the Max Planck Institute for Biological Intelligence, heading the 'Neural Circuits for Vocal Communication' Group whose

Eva Wiese is the professor for Cognitive Psychology and Ergonomics at TU Berlin. More details to follow. This talk will take place in person at SCIoI. Photo by Possessed Photography

What is intelligence? We delve into the collaborative efforts at SCIoI, where we aim to understand intelligence through the identification of commonalities. Inspired by ongoing research and historical parallels, we

In this talk, Asieh will explore the dynamics of decision-making and risk-taking within social contexts and how everyday decisions, often laden with potential negative outcomes, are influenced not only by

Behavior, Personality, and Affective States of Freely Behaving Groups of Mice and Other Animals In recent years, the study of animal behavior in neuroscience has seen a significant shift towards

Stefan Leutgeb is Professor of Neurobiology at University of California San Diego. Currently a fellow of the Wissenschaftskolleg zu Berlin with his research on neural computations in real brains and

Abstract: Originating from the connectionist movement of cognitive science, deep neural networks (DNNs) have had tremendous influence on artificial intelligence, operating at the core of today’s most powerful applications. At