Prof Michael Mack (Psychology)
The computations, representations, and neural dynamics of learning
The learning brain faces a complex challenge: new information must be evaluated and integrated into flexible knowledge structures to support novel decisions. Characterizing the dynamic coordination of learning’s component processes is key to understanding how we best learn and requires an approach grounded in psychological theory, mathematical formalism, and neural mechanism. In this talk, I will describe this multidisciplinary approach to cognitive neuroscience by presenting two studies that target the learning brain. First, I will highlight the role of selective attention in learning by showing how our ability to focus on goal-relevant information dynamically shapes neural representations of category knowledge. Second, I will present a new study that aims to characterize how brain networks drive successful learning. Collectively, these findings support a neurocomputational framework for learning and decision making that highlights the mutual interaction of selective attention and knowledge formation. I will conclude with a discussion of ongoing and planned research that leverages this framework to investigate broader questions at the intersection of psychology and engineering including optimizing real-world decisions to improve waste sorting and identifying the neurocognitive impacts of indoor air quality.
When: Tuesday 13 November 2018, 12pm-2pm
Where: Room 370, Myhal Centre for Engineering Innovation & Entrepreneurship
55 St. George Street – Toronto
RSVP by: 12 noon, Monday 12 November 2018 using the below form to be included in the catering order.
Contacts:
RSVP-changes: Min Kim at psych_eng@mie.utoronto.ca
Academic: Prof. Li Shu at shu@mie.utoronto.ca
Bookings
Registrations are closed for this event.