| A large-scale model of the functioning brain C Eliasmith, TC Stewart, X Choo, T Bekolay, T DeWolf, C Tang, ... Science 338 (6111), 1202-1205, 2012 | 1077 | 2012 |
| Nengo: A Python tool for building large-scale functional brain models T Bekolay, J Bergstra, E Hunsberger, T DeWolf, TC Stewart, ... Frontiers in Neuroinformatics 7, 48, 2013 | 603 | 2013 |
| A neural model of rule generation in inductive reasoning D Rasmussen, C Eliasmith Topics in Cognitive Science 3 (1), 140-153, 2011 | 121 | 2011 |
| NengoDL: Combining deep learning and neuromorphic modelling methods D Rasmussen arXiv preprint arXiv:1805.11144, 2018 | 109 | 2018 |
| A neural model of hierarchical reinforcement learning D Rasmussen, A Voelker, C Eliasmith PloS one 12 (7), 2017 | 71 | 2017 |
| A neural model of hierarchical reinforcement learning D Rasmussen, C Eliasmith 36th Annual Conference of the Cognitive Science Society, 1252-1257, 2014 | 71 | 2014 |
| A spiking neural model applied to the study of human performance and cognitive decline on Raven's Advanced Progressive Matrices D Rasmussen, C Eliasmith Intelligence 42, 53-82, 2014 | 48 | 2014 |
| Methods and systems for artificial cognition CD Eliasmith, TC Stewart, FX Choo, TW Bekolay, T Crncich-DeWolf, ... US Patent 20140156577A1, 2013 | 38* | 2013 |
| Methods and systems for performing reinforcement learning in hierarchical and temporally extended environments DH Rasmussen, CD Eliasmith US Patent App. 14/836,084, 2015 | 23 | 2015 |
| A spike in performance: Training hybrid-spiking neural networks with quantized activation functions AR Voelker, D Rasmussen, C Eliasmith arXiv preprint arXiv:2002.03553, 2020 | 19 | 2020 |
| Modeling brain function: Current developments and future prospects D Rasmussen, C Eliasmith JAMA Neurology 70 (10), 1325-1329, 2013 | 13 | 2013 |
| God, the devil, and the details: Fleshing out the predictive processing framework D Rasmussen, C Eliasmith Behavioral and Brain Sciences 36 (3), 223-224, 2013 | 12 | 2013 |
| A neural reinforcement learning model for tasks with unknown time delays D Rasmussen, C Eliasmith 35th Annual Conference of the Cognitive Science Society, 3257-3262, 2013 | 10 | 2013 |
| Hierarchical reinforcement learning in a biologically plausible neural architecture D Rasmussen University of Waterloo, 2014 | 6 | 2014 |
| A neural modelling approach to investigating general intelligence D Rasmussen University of Waterloo, 2010 | 6 | 2010 |
Chris EliasmithProfessor, University of WaterlooVerified email at uwaterloo.ca
