Bruce McNaughtonView profile
Professor
Dr. Bruce McNaughton is a Professor at the University of Lethbridge affiliated with the Canadian Centre for Behavioural Neuroscience (CCBN), where he directs the Polaris Brain Dynamics research group. His work pioneers advanced neural recording technologies and computational approaches to decode cognitive processes. His academic credentials include: PhD (Cum Laude) in Psychology from Dalhousie University MSc in Biology from Carleton University BSc (Honours, First Class) in Biology from Carleton University McNaughton's research centers on the neural basis of cognition, with emphasis on memory systems, spatial navigation, and synaptic plasticity. He investigates hippocampal-cortical interactions during memory consolidation, neural mechanisms of spatial orientation (including grid/place/head-direction cells), and memory disorders in Alzheimer's disease and epilepsy. His lab pioneers high-density electrophysiology and optical imaging at cellular resolution to study network dynamics in behaving animals. Analysis of his 2005-2008 publications reveals three dominant themes: (1) memory trace reactivation during rest/sleep and its role in consolidation, (2) spatial coding mechanisms in hippocampal-entorhinal networks, and (3) methodological innovations in neural recording/data analysis. His work consistently bridges computational theory with experimental neuroscience to explain cognitive phenomena at the circuit level. Key recognitions include: Polaris Award ($20M/10 year) Personnel awards from Alberta Innovates – Health Solutions He actively mentors 14 trainees (6 postdocs, 8 graduate students) and has guided over 30 successful researchers throughout his career. Major funding sources include NSERC, the European Commission, and the $20M Polaris Award supporting his preclinical Alzheimer's research and neural technology development. The Polaris Brain Dynamics group within CCBN focuses on scaling advanced neural imaging techniques, developing animal models of sporadic Alzheimer's, and creating early seizure detection systems for temporal lobe epilepsy, aiming to expand collaborative neuroscience through open technology platforms.






