Thursday Morning Talk

Abstract: Reinforcement learning has shown great success in controlling complex dynamical systems. However, when training a policy, most algorithms only consider a single objective function. While this may suffice in virtual domains, physical systems must satisfy a set of operational constraints, with safety being of crucial importance. It is natural to express these problems as

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 quality of non-invasive wildlife monitoring and enhance the information on individual animal behaviour as well as on behaviour within social networks of the animals (Lynn

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 movement to milling to disordered swarming. Biological collective motion is an emergent phenomenon that is the result of self-organization, whereby macroscopic patterns arise from decentralized,

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 at SCIoI. Photo by Markus Spiske on Unsplash.  

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 objective is to explore the neural circuits driving skilled motor learning and orchestrating the coordination of precise movements by working with songbirds. Due to the

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 on Unsplash,  

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 present candidate principles, inviting the audience to contribute insights and discuss their alignment with ongoing projects. This talk marks a step towards refining our understanding

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 individual judgment but significantly by the surrounding social environment. Her research employs the "Balloon Analogue Risk-Taking" experiment in a controlled setting applying VR-technology in order

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 more naturalistic and less intrusive methods. It is under these conditions that the true spectrum of animal behavior can be exhibited, free from the artificial

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 in artificial systems. More details to follow. This talk will take place in person at SCIoI. Photo by Alina Grubnyak on Unsplash.