Month: October 2025

Online & In-Person

Join us at 12:00 PM on November 14th online via Zoom or in-person at HEB 301/305 (Human Ecology Building) on the U of A campus. Registration is required for both virtual and in-person attendance. Zoom link available through registration.

Free Lunch

If you are attending in-person and would like to enjoy our complimentary lunch, please fill out our lunch form. To keep our iSMART Talks green, we request that you please bring your own water bottle.

About Dr. Keith Fenich

Dr. Keith Fenrich is an Associate Professor in the Faculty of Rehabilitation Medicine at the University of Alberta. His research focuses on the pathophysiology of spinal cord injury in relation to the dynamic cellular interactions that occur after spinal cord injury; promoting functional recovery after spinal cord injury using pharmacological approaches in combination with rehabilitative training to enhance therapeutic neuroplasticity; and developing new methods and devices to better study and administer rehabilitative training after spinal cord injury. Dr. Fenrich has spun off 3 FT reach Inc.

 

Register Here

Join us at 12:00 PM on October 10th online via Zoom or in-person at HEB 301/305 (Human Ecology Building) on the U of A campus. Registration is required for both virtual and in-person attendance. Zoom link available through registration.

Dr. Brokoslaw Laschowski is a computational neuroscientist. He works as a Research Scientist and Principal Investigator at the University Health Network – the largest research hospital in Canada – and as an Assistant Professor at the University of Toronto, with appointments in Neuroscience and Mechanical Engineering. He also serves as the Director of the Computational Neuroscience Lab, a leading multidisciplinary research lab that explores the intersection of neuroscience and artificial intelligence. The long-term vision for his research is to build a computational understanding of the brain and human intelligence.

In this talk, Dr. Laschowski will present his research on developing new mathematical, computational, and machine learning models to reverse-engineer or decode the brain. Some examples include:

  1. Deep learning models to reverse-engineer the visual information processing mechanisms in the visual cortex
  2. Neural decoding algorithms to predict speech and motor behaviours from patterns of neural population activity
  3. Reinforcement learning models to reverse-engineer how neural computations in the motor cortex control and optimize human movement

If you are attending in person and would like to enjoy our complimentary lunch, please fill out our lunch form. To keep our iSMART Talks green, we request that you please bring your own water bottle.

REGISTER HERE