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Neural computation

Showing results (1471-1480 of 2,986) with videos related to

Pageof 299
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Neural Computation|February 9, 2011
Refinements of universal approximation results for deep belief networks and restricted Boltzmann machinesGuido Montufar, Nihat Ay
Neural Computation|March 15, 2011
Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical functionKris De Meyer, Michael W Spratling
Neural Computation|March 15, 2011
Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neuronsJeffrey Beck, Vikranth R Bejjanki, Alexandre Pouget
Neural Computation|March 15, 2011
Applying the multivariate time-rescaling theorem to neural population modelsFelipe Gerhard, Robert Haslinger, Gordon Pipa
Neural Computation|March 15, 2011
Regularized parameter estimation in high-dimensional gaussian mixture modelsLingyan Ruan, Ming Yuan, Hui Zou
Neural Computation|March 15, 2011
Neural associative memory with optimal Bayesian learningAndreas Knoblauch
Neural Computation|April 16, 2011
Inhibition in superior colliculus neurons in a brightness discrimination task?Roger Ratcliff, Yukako T Hasegawa, Ryohei P Hasegawa, et al.
Neural Computation|April 16, 2011
A multifactor winner-take-all dynamicsJunmei Zhu
Neural Computation|April 16, 2011
Determination and the no-free-lunch paradoxEtienne Barnard
Neural Computation|April 16, 2011
How sample paths of leaky integrate-and-fire models are influenced by the presence of a firing thresholdMaria Teresa Giraudo, Priscilla E Greenwood, Laura Sacerdote
Pageof 299

Showing results (1471-1480 of 2,986) with videos related to

Sort By:
Pageof 299
Neural Computation|February 9, 2011
Refinements of universal approximation results for deep belief networks and restricted Boltzmann machinesGuido Montufar, Nihat Ay
Neural Computation|March 15, 2011
Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical functionKris De Meyer, Michael W Spratling
Neural Computation|March 15, 2011
Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neuronsJeffrey Beck, Vikranth R Bejjanki, Alexandre Pouget
Neural Computation|March 15, 2011
Applying the multivariate time-rescaling theorem to neural population modelsFelipe Gerhard, Robert Haslinger, Gordon Pipa
Neural Computation|March 15, 2011
Regularized parameter estimation in high-dimensional gaussian mixture modelsLingyan Ruan, Ming Yuan, Hui Zou
Neural Computation|March 15, 2011
Neural associative memory with optimal Bayesian learningAndreas Knoblauch
Neural Computation|April 16, 2011
Inhibition in superior colliculus neurons in a brightness discrimination task?Roger Ratcliff, Yukako T Hasegawa, Ryohei P Hasegawa, et al.
Neural Computation|April 16, 2011
A multifactor winner-take-all dynamicsJunmei Zhu
Neural Computation|April 16, 2011
Determination and the no-free-lunch paradoxEtienne Barnard
Neural Computation|April 16, 2011
How sample paths of leaky integrate-and-fire models are influenced by the presence of a firing thresholdMaria Teresa Giraudo, Priscilla E Greenwood, Laura Sacerdote
Pageof 299