Chris Eliasmith
TitleCited byYear
Neural engineering: Computation, representation, and dynamics in neurobiological systems
C Eliasmith, CH Anderson
MIT press, 2003
7852003
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
6802012
How to build a brain: A neural architecture for biological cognition
C Eliasmith
Oxford University Press, 2013
4432013
Integrating structure and meaning: A distributed model of analogical mapping
C Eliasmith, P Thagard
Cognitive Science 25 (2), 245-286, 2001
1932001
The third contender: A critical examination of the dynamicist theory of cognition
C Eliasmith
Philosophical Psychology 9 (4), 441-463, 1996
1711996
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
1702014
A unified approach to building and controlling spiking attractor networks
C Eliasmith
Neural computation 17 (6), 1276-1314, 2005
1582005
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
1302015
Is the brain a quantum computer?
A Litt, C Eliasmith, FW Kroon, S Weinstein, P Thagard
Cognitive Science 30 (3), 593-603, 2006
1222006
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
1202010
A controlled attractor network model of path integration in the rat
J Conklin, C Eliasmith
Journal of computational neuroscience 18 (2), 183-203, 2005
1122005
Moving beyond metaphors: Understanding the mind for what it is
C Eliasmith
The Journal of philosophy 100 (10), 493-520, 2003
1012003
Silicon neurons that compute
S Choudhary, S Sloan, S Fok, A Neckar, E Trautmann, P Gao, T Stewart, ...
International conference on artificial neural networks, 121-128, 2012
1002012
Deep networks for robust visual recognition
Y Tang, C Eliasmith
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
972010
Higher-dimensional neurons explain the tuning and dynamics of working memory cells
R Singh, C Eliasmith
Journal of Neuroscience 26 (14), 3667-3678, 2006
962006
Hyperopt-sklearn: automatic hyperparameter configuration for scikit-learn
B Komer, J Bergstra, C Eliasmith
ICML workshop on AutoML 9, 2014
902014
Cognition with neurons: A large-scale, biologically realistic model of the Wason task
C Eliasmith
Proceedings of the Annual Meeting of the Cognitive Science Society 27 (27), 2005
902005
Spiking deep networks with LIF neurons
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1510.08829, 2015
862015
The use and abuse of large-scale brain models
C Eliasmith, O Trujillo
Current opinion in neurobiology 25, 1-6, 2014
862014
A neural model of rule generation in inductive reasoning
D Rasmussen, C Eliasmith
Topics in Cognitive Science 3 (1), 140-153, 2011
842011
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Articles 1–20