COMP Affiliated Labs

Mark Daley

Mark Daley

Contact information

Tel: (519) 661-2111 x87897
Email: mdaley2@uwo.ca
Website: Daley Lab

Departments

Computer Science, Biology

Research Areas

  • Natural Computing
  • Theoretical Computer Science
  • Mathematical Modelling of Biological Systems
  • Computational Neuroscience & Neuroinformatics

Our research group is devoted to the development of computational, and mathematical, methods and techniques for modelling, probing, and understanding, our world. Our current research activities have been focussed on the mathematical and computational modelling of genetic processes as well as analyzing and modelling macroscopic functional connectivity in the brain.

Jörn Diedrichsen

diedrichsen

Contact information

Tel: (519) 661-2111 x86994
Email:jdiedric@uwo.ca
Website: Diedrichsen Lab

Departments

Computer Science, Statistics, Psychology

Research Areas

  • Computational Neuroscience
  • Motor Control and Learning
  • Neuroimaging

The Diedrichsen Lab studies motor control, skill learning, and the function of the human cerebellum. We develop computational approaches for the analysis of high-dimensional functional imaging, behavioral, and neural data.

Ali Khan

Ali Khan

Contact information

Tel: (519) 931-5777 x24280
Email: alik@robarts.ca
Website: Khan Lab

Departments

Medical Biophysics, Medical Imaging

Research Areas

  • Image analysis to study structure of the brain
  • Clinical Applications in Epilepsy
  • Ultra-High Field Neuro-Imaging Pipelines

The Diedrichsen Lab studies motor control, skill learning, and the function of the human cerebellum. We develop computational approaches for the analysis of high-dimensional functional imaging, behavioral, and neural data.

Yalda Mohsenzadeh

Yalda Mohsenzadeh

Contact information

Tel: (519) 661-2111 x86894
Email: ymohsenz@uwo.ca
Website: Mohsenzadeh Lab

Departments

Computer Science

Research Areas

  • Cognitive Computational Neuroscience
  • Neural Dynamics of Human Perception and Memory
  • Computer Vision
  • Machine Learning

Our lab works at the intersection of cognitive neuroscience and computer science closing the loop between theory and experiment. Computational principles guide our experiments into the underlying brain function, and through neuroscientific insights, we aim to develop “cognitive machines”—biologically inspired computational models that can recognize and interact with the world like humans. We use deep convolutional neural networks, neuroimaging experiments (fMRI and MEG/EEG) and advanced analytical tools for mapping the spatiotemporal dynamics of neural processing during perception and memory.

Lyle Muller

Lyle Muller

Contact information

Tel: (519) 661-2111 x85765
Email: lmuller2@uwo.ca
Website: Muller Lab

Department

Applied Mathematics

Research Areas

  • Computational Neuroscience
  • Vision
  • Memory
  • Networks

Our group develops computational tools and mathematical models to solve problems in sensory processing and memory. New image analysis algorithms inspired from computer vision and computational physics allow us to capture the fine-scale dynamics of cortical populations in next-generation, large-scale neural recordings. We then use computational models and analytical approaches from random graph theory to understand the network-level mechanisms underlying our results. We collaborate with a range of colleagues in systems, cognitive, and clinical neuroscience in this research.

Marieke Mur

Marieke Mur

Contact information

Email: mmur@uwo.ca
Website: Visual Cognition Lab

Departments

Computer Science, Psychology

Research Areas

  • Vision 
  • Computational Neuroimaging 
  • Psychophysics

Despite the ease with which we make sense of the outside visual world, the computational task performed by the brain is far from trivial. How do we recognise objects? What neural and computational mechanisms underlie this ability? How are incoming visual signals integrated with behavioural goals? Our lab addresses these questions using psychophysics, functional magnetic resonance imaging (fMRI) and computational modeling.

Andrea Soddu

Andrea Soddu

Contact information

Tel: (519) 661-2111 x82669
Email: asoddu@uwo.ca

Department

Physics and Astronomy

Research Areas

  • Study of resting state fMRI connectivity in altered states of consciousness
  • Modelling of the structure-function relationship in the human brain

Boyu Wang

Boyu Wang

Contact information

Tel: (519) 661-2111 x86856
Email: bwang@csd.uwo.ca

Department

Computer Science

Research Areas

  • Machine Learning
  • Brain Signal Analysis
  • Knowledge Transfer in Learning Algorithms

Boyu Wang is an Assistant Professor at Western University in August 2019. Before Western, he spent three years as a postdoctoral fellow at the University of Pennsylvania and Princeton University. Before that, he obtained his PhD in Computer Science at McGill University in 2016. Broadly, Boyu’s research interests lie at the intersection of machine learning, neuroscience, and biomedical engineering, with an emphasis on knowledge transfer in learning algorithms and brain signal analysis.