Chris Eliasmith

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Terrence C StewartCentre for Theoretical Neuroscience, University of WaterlooVerified email at uwaterloo.ca
Aaron Russell VoelkerApplied Brain Research Inc.Verified email at uwaterloo.ca
Trevor BekolayApplied Brain ResearchVerified email at appliedbrainresearch.com
Charles H AndersonRetiredVerified email at wustl.edu
Daniel RasmussenApplied Brain ResearchVerified email at appliedbrainresearch.com
travis dewolfSenior Research Scientist, Applied Brain ResearchVerified email at appliedbrainresearch.com
Brent KomerPhD Student, University of WaterlooVerified email at uwaterloo.ca
Paul ThagardProfessor Emeritus of Philosophy, University of WaterlooVerified email at uwaterloo.ca
Eric HunsbergerSenior Research Scientist, Applied Brain ResearchVerified email at uwaterloo.ca
James BergstraVerified email at uwaterloo.ca
Peter BlouwSenior Research Scientist, Applied Brain ResearchVerified email at uwaterloo.ca
Steve FurberProfessor of Computer Engineering, Department of Computer Science, The University of Manchester, UKVerified email at manchester.ac.uk
Kwabena BoahenProfessor of Bioengineering & Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Francesco GalluppiResearch Engineer, Gensight BiologicsVerified email at inserm.fr
Bernd J. KrögerNeurophonetics Group, Phoniatrics Department, Medical School, RWTH Aachen UniversityVerified email at rwth-aachen.de
Jorg ConradtEECS, KTH Stockholm, SwedenVerified email at kth.se
Aurelio Lopez-LopezResearcher Computational Sciences, INAOEVerified email at inaoep.mx
Mark LaubachAmerican UniversityVerified email at american.edu
John ConklinRadiologist, Emergency Radiology and Neuroradiology, Massachusetts General HospitalVerified email at mgh.harvard.edu
Cameron ShelleyCentre for Society, Technology and Values, University of WaterlooVerified email at uwaterloo.ca

Chris Eliasmith

Professor, University of Waterloo

Verified email at uwaterloo.ca - Homepage

theoretical neuroscience brain modelling machine learning artificial intelligence philosophy of mind


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Neural engineering: Computation, representation, and dynamics in neurobiological systems C Eliasmith, CH Anderson MIT press, 2003	987	2003
A large-scale model of the functioning brain C Eliasmith, TC Stewart, X Choo, T Bekolay, T DeWolf, Y Tang, ... science 338 (6111), 1202-1205, 2012	882	2012
How to build a brain: A neural architecture for biological cognition C Eliasmith Oxford University Press, 2013	667	2013
Hyperopt: a python library for model selection and hyperparameter optimization J Bergstra, B Komer, C Eliasmith, D Yamins, DD Cox Computational Science & Discovery 8 (1), 014008, 2015	498	2015
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, 2014	348	2014
Hyperopt-sklearn: automatic hyperparameter configuration for scikit-learn B Komer, J Bergstra, C Eliasmith ICML workshop on AutoML 9, 50, 2014	268	2014
Integrating structure and meaning: A distributed model of analogical mapping C Eliasmith, P Thagard Cognitive Science 25 (2), 245-286, 2001	214	2001
The third contender: A critical examination of the dynamicist theory of cognition C Eliasmith Philosophical Psychology 9 (4), 441-463, 1996	192	1996
A unified approach to building and controlling spiking attractor networks C Eliasmith Neural computation 17 (6), 1276-1314, 2005	190	2005
Spiking deep networks with LIF neurons E Hunsberger, C Eliasmith arXiv preprint arXiv:1510.08829, 2015	187	2015
Is the brain a quantum computer? A Litt, C Eliasmith, FW Kroon, S Weinstein, P Thagard Cognitive Science 30 (3), 593-603, 2006	144	2006
A controlled attractor network model of path integration in the rat J Conklin, C Eliasmith Journal of computational neuroscience 18 (2), 183-203, 2005	132	2005
Moving beyond metaphors: Understanding the mind for what it is C Eliasmith The Journal of philosophy 100 (10), 493-520, 2003	130	2003
Dynamic behaviour of a spiking model of action selection in the basal ganglia TC Stewart, X Choo, C Eliasmith Proceedings of the 10th international conference on cognitive modeling, 235-40, 2010	127	2010
Training spiking deep networks for neuromorphic hardware E Hunsberger, C Eliasmith arXiv preprint arXiv:1611.05141, 2016	124	2016
Benchmarking keyword spotting efficiency on neuromorphic hardware P Blouw, X Choo, E Hunsberger, C Eliasmith Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop …, 2019	121	2019
Braindrop: A mixed-signal neuromorphic architecture with a dynamical systems-based programming model A Neckar, S Fok, BV Benjamin, TC Stewart, NN Oza, AR Voelker, ... Proceedings of the IEEE 107 (1), 144-164, 2018	118	2018
The use and abuse of large-scale brain models C Eliasmith, O Trujillo Current opinion in neurobiology 25, 1-6, 2014	116	2014
Deep networks for robust visual recognition Y Tang, C Eliasmith ICML, 2010	116	2010
Higher-dimensional neurons explain the tuning and dynamics of working memory cells R Singh, C Eliasmith Journal of Neuroscience 26 (14), 3667-3678, 2006	108	2006

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