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Chris Eliasmith

Showing results (1-10 of 58) with videos related to

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Studies in History and Philosophy of Science|April 7, 2011
How we ought to describe computation in the brainChris Eliasmith
Topics in Cognitive Science|January 19, 2012
The complex systems approach: rhetoric or revolutionChris Eliasmith
Neural Computation|May 20, 2005
A unified approach to building and controlling spiking attractor networksChris Eliasmith
Neural Computation|October 20, 2020
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural NetworksAndreas Stöckel, Chris Eliasmith
Plos One|February 23, 2016
Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural NetworksJan Gosmann, Chris Eliasmith
Biological Cybernetics|May 17, 2011
Normalization for probabilistic inference with neuronsChris Eliasmith, James Martens
Cerebral Cortex (New York, N.Y. : 1991)|October 18, 2006
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timingBryan Tripp, Chris Eliasmith
The Behavioral and Brain Sciences|May 14, 2013
God, the devil, and the details: Fleshing out the predictive processing frameworkDaniel Rasmussen, Chris Eliasmith
Current Opinion in Neurobiology|April 9, 2014
The use and abuse of large-scale brain modelsChris Eliasmith, Oliver Trujillo
Biological Cybernetics|September 2, 2005
Integrating behavioral and neural data in a model of zebrafish network interactionP Dwight Kuo, Chris Eliasmith
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Studies in History and Philosophy of Science|April 7, 2011
How we ought to describe computation in the brainChris Eliasmith
Topics in Cognitive Science|January 19, 2012
The complex systems approach: rhetoric or revolutionChris Eliasmith
Neural Computation|May 20, 2005
A unified approach to building and controlling spiking attractor networksChris Eliasmith
Neural Computation|October 20, 2020
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural NetworksAndreas Stöckel, Chris Eliasmith
Plos One|February 23, 2016
Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural NetworksJan Gosmann, Chris Eliasmith
Biological Cybernetics|May 17, 2011
Normalization for probabilistic inference with neuronsChris Eliasmith, James Martens
Cerebral Cortex (New York, N.Y. : 1991)|October 18, 2006
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timingBryan Tripp, Chris Eliasmith
The Behavioral and Brain Sciences|May 14, 2013
God, the devil, and the details: Fleshing out the predictive processing frameworkDaniel Rasmussen, Chris Eliasmith
Current Opinion in Neurobiology|April 9, 2014
The use and abuse of large-scale brain modelsChris Eliasmith, Oliver Trujillo
Biological Cybernetics|September 2, 2005
Integrating behavioral and neural data in a model of zebrafish network interactionP Dwight Kuo, Chris Eliasmith
Pageof 6