Programme

Get to know more about the programme of the International Conference on Motivational and Cognitive Control.
Keynote Speakers
Jill O'Reilly

Synergistic mechanisms linking behavioural drives, inference and memory formation

Jill O’Reilly is a Professor of Psychology at the University of Oxford. She is interested in attention, decision making, and cognitive control, in particular in developing mechanistic descriptions of these processes that use computational or mathematical models, and relating them to brain activity as measured with neuroimaging.

Rogier Mars

The neural infrastructure for motivational and cognitive control: variations across species and their implications

Rogier obtained his PhD (highest honors) from the Donders Centre of the Radboud University in 2006 with a thesis on the contributions of human premotor cortex to action. He then moved to University College London to work with Sven Bestmann on computational models to analyze EEG and TMS data. Since 2007 Rogier has been working at the University of Oxford, first as a Marie Curie Intra-European Fellow with Matthew Rushworth and more recently as an independent PI.

Rogier is interested in understanding how the brains of different animal species' are differently organized and how this affects the species' behavioral repertoire. To this end, he and in team build tools for comparative neuroscience and apply them both to understand brain evolution and to help improve translational neuroscience.

Alicia Izquierdo

Dissociable frontocortical circuits in support of learning under uncertainty

Dr. Izquierdo's main research interests center on understanding the brain mechanisms of flexible reinforcement learning and value-based decisions. Specifically, this involves exploring the impact of costs and determining the relative value of options. To that end, her lab studies these processes using a combination of behavioral, molecular, pharmacological, computational, and in vivo imaging and recording methods. More recently her lab has investigated the neurobiological basis for the role of uncertainty, risk, and reinforcement history on learning and choice. A better understanding of the basic neural mechanisms in reinforcement learning and choice behavior may contribute to our knowledge of behavioral and substance addictions, in particular.

Special guest (to be confirmed)