Why we hear a beat in music: linking auditory perception, prediction, and action

The question of why we hear a beat in music, particularly because we as humans are seemingly unique in this ability, has intrigued researchers for decades. In this talk, I will argue that studying our ability to tap to musical beat can reveal much about the neural underpinnings of auditory scene analysis, pattern detection, temporal prediction, and sensorimotor integration.

CANCELLED - Deliberate ignorance: The curious choice not to know

Western history of thought abounds with claims that knowledge is valued and sought. Yet people often choose not to know. We call the conscious choice not to seek or use knowledge (or information) deliberate ignorance. Using examples from a wide range of domains, we demonstrate that deliberate ignorance has important functions. We systematize types of deliberate ignorance, describe their functions, discuss their normative desirability, and consider how they can be modeled. We conclude that the desire not to know is no anomaly.

Metacontrol of reinforcement learning

Modern theories of reinforcement learning posit two systems competing for control of behavior: a "model-free" or "habitual" system that learns cached state-action values, and a "model-based" or  "goal-directed" system that learns a world model which is then used to plan actions. I will argue that humans can adaptively invoke model-based computation when its benefits outweigh its costs. A simple meta-control learning rule can capture the dynamics of this cost-benefit analysis. Neuroimaging evidence points to the role of cognitive control regions in this computation.

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