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Chris Eliasmith, Terry Stewart, Jonathan Lai, Carter Kolbeck, Trevor Bekolay, Eric Hunsberger, Yan Wu, Dan Rasmussen, Xuan Choo, Travis DeWolf
Welcome to the Computational Neuroscience Research Group (CNRG) site. We are one of the labs in the Waterloo Centre for Theoretical Neuroscience.
We are interested in understanding how the brain works. We research perception, action, cognition, and basic theoretical issues from a neural perspective. Most of this research is carried out by building large-scale models (usually simulating single neurons) of various brain areas. The main software tool we use and develop for this purpose is Nengo. The book How to build a brain, which summarizes much of our recent work, is now available for preorder at Amazon.
You can download our recent Science paper called "A large-scale model of the function brain", or any of our other publications.Recent updates
Recent publications
- A Neural Model of Human Image Categorization
- Biologically Plausible, Human-scale Knowledge Representation
- Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures
- God, the devil, and details: Fleshing out the predictive processing framework (commentary on Clark)
- How to build a brain: A neural architecture for biological cognition
- Does the Entorhinal Cortex use the Fourier Transform?
- Heterogeneity Increases Information Transmission in Neuronal Populations
- Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator
- Real Time On-Chip Implementation of Dynamical Systems with Spiking Neurons