Randy McIntosh is professor and BC leadership chair in neuroscience and technology transfer across the lifespan, and director of the Institute for Neuroscience and Neurotechnology, at Simon Fraser University. He holds a Ph.D. in psychology and neuroscience with a strong background in statistics. His research journey began at the Rotman Research Institute at the University of Toronto, where he developed a keen interest in understanding aging and cognition. McIntosh is the co-lead for the team that created The Virtual Brain (thevirtualbrain.org), a groundbreaking platform that unites global research efforts.
Randy McIntosh
Director, Institute for Neuroscience and Neurotechnology
Simon Fraser University
Selected articles
- “Partial least squares analysis of neuroimaging data: Applications and advances” | NeuroImage
- “Contexts and catalysts: A resolution of the localization and integration of function in the brain” | Neuroinformatics
- “Emerging concepts for the dynamical organization of resting-state activity in the brain” | Nature Reviews Neuroscience
- “Resting brains never rest: Computational insights into potential cognitive architectures” | Trends in Neurosciences
- “The hidden repertoire of brain dynamics and dysfunction” | Network Neuroscience
Explore more from The Transmitter
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.