Distinguished Speaker Series

I will present a model of continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options. 

ABSTRACT: Self-preservation is embodied in our brain’s circuitry: we seek food when hungry, warmth when cold, and mates when lusty. In the evolution of the mammalian brain, circuitry for regulating one’s

Speaker: Peter Dayan, Max Planck Institute for Biological Cybernetics, https://www.mpg.de/12309357/biologische-kybernetik-dayan Hosted by Henning Sprekeler; moderated by Robert Tjarko Lange Peril, Prudence and Planning as Risk, Avoidance and Worry Risk occupies

It is a commonly held assumption that the fovea is where the interesting action occurs. To scrutinize this assumption, we conducted a series of experiments that addressed the following question: How important are the

Recent years have seen a considerable surge of research on interest-based engagement, examining how and why people are engaged in activities without relying on extrinsic rewards. However, the field of

Abstract: In current debates over deep-neural-network-based AI, deep learning researchers have adopted the mantle of philosophical empiricism and associationism, and its critics have taken up the side of philosophical rationalism

Postponed to a later date (to be assessed) More info coming soon!  

Abstract: Humans spend a lifetime learning, storing and refining a repertoire of motor memories. However, it is unknown what principle underlies the way our continuous stream of sensorimotor experience is

Abstract: Learning is a central concept in many scientific disciplines. Communication about research on learning is, however, hampered by the fact that different researchers define learning in different ways. In

Abstract: We can view cortex from two fundamentally different perspectives: a powerful device for performing optimal inference, or an assembly of biological components not built for achieving statistical optimality. The

Abstract: Unsupervised learning is experiencing a renaissance. Driven by an abundance of unlabelled data and the advent of deep generative models, machines are now able to synthesise complex images, videos

Abstract: How do we reconcile the extraordinary success of the human species with the apparent stupidity of people and organizations? How can we understand the transformation of humans from foraging