Graduate Course List

NB: This list is *in addition* to courses listed in Appendix A. As well, these courses are not officially approved to count towards the Graduate Diploma. If you would like to have one count towards the diploma, please contact the director.


  • AMATH 651: Dynamical Systems (A unified view of linear and nonlinear systems of ordinary differential equations in Rn)
  • AMATH 751: Advanced Ordinary Differential Equations
  • AMATH 882: Mathematical Cell Biology
  • SYDE 758: Simulating Neurobiological Systems
  • SYDE 750/27: Computational Neuroscience
  • CS 679: Neural Networks (cross listed with CS 479 - view webpage for details and pre-requisites)
  • CS 787: Computational Vision (Computational vision is concerned with the automatic processing of image and video data for scene reconstruction, object recognition, navigation, and activity detection.)
  • CS 870: Advanced Topics in Scientific Computing, "Computational Neuroscience"


  • OPTOM 607: Neurophysiology of Vision


  • Cog Sci 600 : Cognitive Science Seminar (This seminar-style course will discuss topics concerning the nature of human and computational intelligence. ) - last taught by Jesse Hoey.


  • *PSYCH670 - Mind, Math, Theory, and Code (offered irregularly)
  • PSYCH 785 - Attention and the Brain (Aims to discuss the latest development in the functions of attention and neural circuits - usually taught by James Danckert (Psychology).
  • PSYCH 783 - Neuroimaging of Cognition (Focuses on tools for neural data collection: fMRI; EEG; TMS; and tDCS - James Danckert).
  • PSYCH 790 - Classic Cases in Neuropsychology (Seminar discussion classic cases and their contribution to contemporary theories in cognitive (neuro)science - James Danckert)
  • *Psych 677a - Fundamentals of Neuroscience ( A team taught course presenting diverse methods and levels of investigation from cellular to cognitive neuroscience).
  • * PSYCH 784 - Human Neuroanatomy (Uses MRIcron software to review basic neuroanatomy and seminar style presentations to review the neuroanatomy pertinent for students' graduate research - typically taught by Britt Anderson).

Note: AMATH = Applied Mathematics, SYDE = Systems Design Engineering, CS = Computer Science, KIN = Kinesiology, BIOL = Biology, OPTOM = Optometry, PSYCH = Psychology

Undergraduate Course List

* indicates recommended courses (if you would like the Centre to consider a course to be recommended, please inform us).


  • *SYDE 556: Simulating Neurobiological Systems
  • *AMATH/BIO 382: Computational Modelling of Cellular Systems
  • *SYDE 252: Signals and Systems
  • *SYDE 352, AM 455/655: Control Theory
  • SYDE 372: Pattern Recognition
  • SYDE 422: Machine Intelligence
  • SYDE 575: Image Processing
  • CS 479: Neural Networks.
  • AMATH 451: Dynamical Systems


  • *BIOL 377: Systems Neuroscience
  • *BIOL 476 - Cellular and Molecular Neuroscience
  • BIOL 376: Cellular Neurophysiology
  • *KIN 201: Human Anatomy of the Central Nervous System
  • KIN 255: Psychomotor Behaviour
  • KIN 356: Information Processing in Human Perceptual Motor Performance
  • KIN 357: Motor Learning
  • KIN 359: Cognition and Movement
  • KIN 416: Neuromuscular Integration
  • BIOL 273, SCI 351: Human Physiology
  • *PSYCH 261: Physiological Psychology


  • PHIL/PSYCH 256: Cognitive Science
  • PSYCH 207: Cognitive Processes
  • *PSYCH 307: Human Neuropsychology (PSYCH 101 and 207 are prerequisites)
  • PSYCH 396: Research in Behavioural Neuroscience
  • *PSYCH420/792 - Introduction to the Methods of Computational Neuroscience
  • PHIL/PSYCH 447: Seminar in Cognitive Science

Note: AMATH = Applied Mathematics, SYDE = Systems Design Engineering, CS = Computer Science, KIN = Kinesiology, BIOL = Biology, OPTOM = Optometry, PSYCH = Psychology, PHIL = Philosophy

If you know of other courses at the University not listed here, please inform us.

Brain Day 2023 Videos On-line

The videos from Brain Day 2023 are now available on line at our youtube channel. Hope you enjoy.

CTN Masters Student Graduate Sugandha Sharma Appears on Generally Intelligent Podcast

Sugandha Sharma, masters student graduate of the University of Waterloo's CTN, discusses her research and time in the laboratory of CTN Founding Director Chris Eliasmith as well as her current PhD research at MIT on the Generally Intelligent Podcast. Give it a listen.

Sue Ann Campbell Presents at International Conference on Mathematical Neurosci 2022

Sue Ann Campbell (Applied Math/CTN core member) recently presented "Modulation of Synchronization by a Slowly Varying Current"  in July 2022 at the International Conference on Mathematical Neuroscience; Watch it on YouTubesue ann campbell presentation image of spikes

CTN Research Day 2023 Oct 17 16:30 - 19:00 QNC 0101

The Centre for Theoretical Neuroscience will be hosting its second Research Day. This will be a chance to start the new academic year by getting re-acquainted with each other and the diversity of research conducted by CTN core and affiliate faculty. The format will be to have a number of CTN faculty share short overviews of their lab's and projects (16:30-17:30) and then, following a short coffee break (17:30-18:00), hear from a dozen current graduate students and post-docs giving short three minute talks on an aspect of their current research (18:00-19:00).

Bots and Beasts. New book by CTN Founding Member Paul Thagard

Paul Thagard, philosopher, cognitive scientist, Killam prize winner, and founding CTN member has a new book out: Bots and Beasts. bots and beasts book cover