Thursday Morning Talk

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Thursday Morning Talk

Tim Kietzmann (University of Osnabrück), “Large language models offer a rich representational format for understanding the transformation of visual information in the human brain.”

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 the same time, cognitive computational neuroscientists have recognised their promise to act as “Goldilocks” models of brain function: DNNs are grounded in sensory data, can

Thursday Morning Talk

Christian Poth (Bielefeld University), “Task-driven phasic alertness: How being ready for action relies on the current task”

Abstract: Humans often must respond quickly to events happening in their environment. To support fast perception and action, the brain has evolved a warning system. Warning stimuli are used to elicit a transient state of readiness for perception and action (phasic alertness) that results in faster perceptual processing and faster decision-making for action. Phasic alertenss

Thursday Morning Talk

Fariba Karimi (Graz University of Technology), “Complexity Science for Societal Good”

MAR 2.057

Abstract: Social inequalities -- structured and recurrent patterns of unequal distribution of wealth, opportunities, and rewards -- are on the rise, and quick-fix, top-down approaches are failing. Structural inequality is one of the important manifestations of social inequalities in which institutions, policies, and societies create systems of privilege that are structural barriers to equality and

Thursday Morning Talk

Hector Garcia de Marina (University of Granada), “Practical challenges in formation control and mobile robot swarms”

MAR 2.057

Abstract: Robot swarms have the potential to assist us with simpler logistics in persistent missions involving vast scenarios. Robot swarms also promise added resilience to complete their objectives despite unforeseen difficulties. However, current demonstrations of swarm technology in unstructured environments only count on single-digit individuals. That is farther from what one would expect from the

Thursday Morning Talk

Pavel Němec (Charles University), “Two independent origins of complex brains and intelligent behavior in birds and mammals”

Abstract: Over the last 20 years, it has been shown that birds and mammals are startlingly similar in their cognitive repertoire. Even the most intelligent taxa from each group – great apes and large corvids and parrots – match each other in most domains of cognition. This functional similarity is remarkable considering that birds and

Thursday Morning Talk

Joshua B. Evans, “Creating Multi-Level Skill Hierarchies in Reinforcement Learning”

Abstract: What is a useful skill hierarchy for an autonomous agent? In this talk, we will consider a possible answer based on a graphical representation of how the interaction between an agent and its environment may unfold. The proposed approach uses modularity maximisation as a central organising principle to expose the structure of the interaction

Thursday Morning Talk

Verena Wagner (University of Konstanz), “On Pause: Suspending Judgment and Abstaining in Machine Learning”

Abstract: Machine Learning (ML) systems typically yield definitive outputs, even when the underlying probabilities do not justify a decision. This poses a significant challenge in medical applications, where patients rely on individualized diagnoses, treatments, and prognoses. A recent advancement in ML research addresses this issue by introducing so-called “abstention models,” which enable ML systems to