Integration of Personal vs. Social Information for Sustainable Decisions on Climate Action

Some of my past and current research looks at "decisions from  experience,” i.e., decisions based on the personally experienced outcomes of past choices, along the lines of reinforcement learning models and how such learning and updating is related to and differs from the way in which people and other intelligent agents use other sources of information, e.g., vicarious feedback (anecdotal/social and/or in the form of statistical distributions of outcomes) or science- or model-based outcome predictions to make “decisions from description.”  What happens when these differe

Redrawing the lines between language and graphics

Graphic and verbal communication are typically thought to work in very different ways. While speech uses a conventionalized vocabulary that is acquired from children’s environments, drawing is assumed to reflect the articulation of how people see and think, with learning based on “artistic talent.” Yet, research from linguistics and cognitive science upends these assumptions, suggesting that these domains are actually not so distinctive.

Problem solving in acellular slime molds

Learning and decision making have hitherto been investigated almost exclusively in multicellular neural organisms. Yet, evidence for learning and decision making have been described in single celled organisms : ciliates and slime molds for instance. In this conference, in the first part of my talk, I will focus on decision making in slime molds and explore various frameworks: nutritional geometry, speed versus accuracy trade-off, Weber's law and social influence.

Contextual effects, image statistics, and deep learning

Neural responses and perception of visual inputs strongly depend on the spatial context, i.e., what surrounds a given object or feature. I will discuss our work on developing a visual cortical model based on the hypothesis that neurons represent inputs in a coordinate system that is matched to the statistical structure of images in the natural environment. The model generalizes a nonlinear computation known as normalization, that is ubiquitous in neural processing, and can capture some spatial context effects in cortical neurons.

Individual Differences in Lifespan Cognitive Development

This is an exciting time for scientists who are interested in cognitive development: there is now a wealth of easily-accessible data that can be used to ask interesting questions about how psychological, neural, and genetic factors affect changes in cognitive functions across the lifespan - and how they differ between individuals. In this talk, I'll describe several studies that apply individual-differences methods to large-scale, sometimes longitudinal datasets that include cognitive and biological information.

Dopamine role in learning and action inference

This talk will present a framework for modelling dopamine function in the mammalian brain. In this framework, dopaminergic neurons projecting to different parts of the striatum encode errors in predictions made by the corresponding systems within the basal ganglia. These prediction errors are equal to differences between rewards and expectations in the goal-directed system, and to differences between the chosen and habitual actions in the habit system. The prediction errors enable learning about rewards resulting from actions and habit formation.

What Art can tell us about the Brain

Artists have been doing experiments on vision longer than neurobiologists. Some major works of art have provided insights as to how we see; some of these insights are so fundamental that they can be understood in terms of the underlying neurobiology.  For example, artists have long realized that color and luminance can play independent roles in visual perception.

The Language of Life: exploring the origins of human communication

Language is the most powerful social tool any species has evolved - we can use it to share any idea we can think of with the minds of those around us: from poetry, Shakespeare, and physics, to internet memes it underpins what defines us as a species. But despite centuries of thought and study we still have very little idea of how and why language evolved. As a field primatologist at the University of St Andrews, I have spent 15 years living and working with wild apes in the rainforests and mountains of Uganda.