The Nicola Computational Neuroscience Lab was founded at the University of Calgary in 2019 by Dr. Wilten Nicola, Associate Professor (July 2025) in Computational Neuroscience. Our lab uses quantitative methods in applied mathematics, dynamical systems theory, and machine learning to under stand how populations of neurons perform the complex operations and cause organism level behaviours. We work with both experimental neuroscientists and theoreticians in our research pursuits.
About Us
Research Focus
Neural Algorithms for Computation
We develop brain-based learning algorithms and network topologies using that can harness the dynamics of neurons, glia, and other brain cells for computation. These algorithms are often translated into hardware-based (e.g. FPGA) neuromorphic instantiations.
Newton & Nicola, (2025) PLoS CB
Shamsi & Nicola (2024) IEEE Circuits & Sys. I
Computational Modelling of Neural Circuits
We model neural system with a data-driven approach as different types of dynamical systems. This ranges in scale from modelling single cell dynamics with biophysical models to brain-scale computational models.
Lameu et. al., (2024) J. Neurophys.
Culp et. al, (2026) Cell Rep. Meth.