Eliasmith, Chris -

Personal Information
First Name: 
jointly appointed in Philosophy and Systems Design Engineering, and cross-appointed to Computer Science
Affiliation universitaire: 
University of Waterloo
(519) 888-4567
Email Address: 
Area of Research
Champ d'études: 
Theoretical/computational neuroscience, large-scale simulation, specific behaviors: Rodent path integration, zebrafish/lamprey locomotion, basal ganglia, etc., attractor networks,statistical inference in biological networks; computational cognitive neuroscience,working memory, context sensitive linguistic inference, emotions and decision making,hemineglect, neural coding (population and temporal); philosophy of mind and language; philosophy of science; modeling; philosophy of neuroscience
PHD Program: 
PHD University: 
Washington University in St. Louis
PHD Date: 
Major Publications: 
Eliasmith, C. (in press) How to build a brain: A neural architecture for biological cognition. Oxford University Press. Eliasmith, C. and C. H. Anderson (2003). Neural Engineering: Computation, representation and dynamics in neurobiological systems Stewart, T.C., Tripp, B., Eliasmith, C. (2009) Python Scripting in the Nengo Simulator. Frontiers in Neuroinformatics. 3:7 (online). Parisien, C., C. H. Anderson, and C. Eliasmith (2008). Solving the problem of negative synaptic weights in cortical models. Neural Computation. 20: 1473-1494 (pdf penultimate version). Tripp, B. and C. Eliasmith (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral Cortex. 17:1830-1840 (on-line) (pdf penultimate version). Singh, R. and C. Eliasmith (2006). Higher-dimensional neurons explain the tuning and dynamics of working memory cells. Journal of Neuroscience. 26: 3667-3678. (pdf version). Kuo, D. and C. Eliasmith (2005) Integrating behavioral and neural data in a model of zebrafish network interaction. Biological Cybernetics. 93(3): 178-187 (pdf version - penultimate). Eliasmith, C. (2005). A unified approach to building and controlling spiking attractor networks. Neural Computation. 17(6): 1276-1314 (pdf version - penultimate) Conklin, J. and C. Eliasmith (2005). An attractor network model of path integration in the rat. Journal of Computational Neuroscience. 18: 183-203 (pdf version) Litt, A, C. Eliasmith, and P. Thagard (2008) Neural affective decision theory: Choices, brains, and emotions. Cognitive Systems Research. 9:252-273 (pdf penultimate version).
Membre des sociétés académiques: 
Society for Philosophy and Psychology, American Philisophical Association, Canadian Philosophical Association, Philosophy of Science Association, Southern Society for Philosophy and Psychology
Courses Taught: 
Critical Thinking; Simulating Neurobiological Systems;Intro to Cognitive Science; Philosophy of Mind; Naturalizing meaning