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Neural computation

Showing results (981-990 of 2,986) with videos related to

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Neural Computation|November 21, 2009
Memory capacities for synaptic and structural plasticityAndreas Knoblauch, Günther Palm, Friedrich T Sommer
Neural Computation|November 20, 2009
Convolutional networks can learn to generate affinity graphs for image segmentationSrinivas C Turaga, Joseph F Murray, Viren Jain, et al.
Neural Computation|November 20, 2009
Spiking neural networks for cortical neuronal spike train decodingHuijuan Fang, Yongji Wang, Jiping He
Neural Computation|November 20, 2009
Phase locking below rate threshold in noisy model neuronsJan A Freund, Alexander Nikitin, Nigel G Stocks
Neural Computation|November 20, 2009
Population models of temporal differentiationBryan P Tripp, Chris Eliasmith
Neural Computation|December 24, 2009
Optimal decision making on the basis of evidence represented in spike trainsJiaxiang Zhang, Rafal Bogacz
Neural Computation|December 24, 2009
A non-Markovian random walk underlies a stochastic model of spike-timing-dependent plasticityTerry Elliott
Neural Computation|March 19, 2010
On the noise-enhancing ability of stochastic Hodgkin-Huxley neuron systemsBor-Sen Chen, Cheng-Wei Li
Neural Computation|January 27, 2010
Nonconvergence in logistic and poisson models for neural spikingMengyuan Zhao, Satish Iyengar
Neural Computation|June 13, 2018
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge RegressionMichiel Stock, Tapio Pahikkala, Antti Airola, et al.
Pageof 299

Showing results (981-990 of 2,986) with videos related to

Sort By:
Pageof 299
Neural Computation|November 21, 2009
Memory capacities for synaptic and structural plasticityAndreas Knoblauch, Günther Palm, Friedrich T Sommer
Neural Computation|November 20, 2009
Convolutional networks can learn to generate affinity graphs for image segmentationSrinivas C Turaga, Joseph F Murray, Viren Jain, et al.
Neural Computation|November 20, 2009
Spiking neural networks for cortical neuronal spike train decodingHuijuan Fang, Yongji Wang, Jiping He
Neural Computation|November 20, 2009
Phase locking below rate threshold in noisy model neuronsJan A Freund, Alexander Nikitin, Nigel G Stocks
Neural Computation|November 20, 2009
Population models of temporal differentiationBryan P Tripp, Chris Eliasmith
Neural Computation|December 24, 2009
Optimal decision making on the basis of evidence represented in spike trainsJiaxiang Zhang, Rafal Bogacz
Neural Computation|December 24, 2009
A non-Markovian random walk underlies a stochastic model of spike-timing-dependent plasticityTerry Elliott
Neural Computation|March 19, 2010
On the noise-enhancing ability of stochastic Hodgkin-Huxley neuron systemsBor-Sen Chen, Cheng-Wei Li
Neural Computation|January 27, 2010
Nonconvergence in logistic and poisson models for neural spikingMengyuan Zhao, Satish Iyengar
Neural Computation|June 13, 2018
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge RegressionMichiel Stock, Tapio Pahikkala, Antti Airola, et al.
Pageof 299