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Neural computation

Showing results (931-940 of 3,000) with videos related to

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Neural Computation|September 22, 2009
Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticityTerry Elliott
Neural Computation|March 27, 2010
Spectral method and high-order finite differences for the nonlinear cable equationAhmet Omurtag, William W Lytton
Neural Computation|March 27, 2010
A spiking neuron as information bottleneckLars Buesing, Wolfgang Maass
Neural Computation|March 27, 2010
Multilayer processing of spatiotemporal spike patterns in a neuron with active dendritesYingxue Wang, Shih-Chii Liu
Neural Computation|March 27, 2010
Estimating a state-space model from point process observations: a note on convergenceKe Yuan, Mahesan Niranjan
Neural Computation|February 13, 2009
Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysicsDashan Gao, Nuno Vasconcelos
Neural Computation|August 16, 2006
On the consistency of the blocked neural network estimator in time series analysisA Sarishvili, Ch Andersson, J Franke, et al.
Neural Computation|May 5, 2010
A computationally efficient method for nonparametric modeling of neural spiking activity with point processesTodd P Coleman, Sridevi S Sarma
Neural Computation|May 12, 2009
A gradient learning rule for the tempotronRobert Urbanczik, Walter Senn
Neural Computation|May 12, 2009
Simplicity and efficiency of integrate-and-fire neuron modelsHans E Plesser, Markus Diesmann
Pageof 300

Showing results (931-940 of 3,000) with videos related to

Sort By:
Pageof 300
Neural Computation|September 22, 2009
Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticityTerry Elliott
Neural Computation|March 27, 2010
Spectral method and high-order finite differences for the nonlinear cable equationAhmet Omurtag, William W Lytton
Neural Computation|March 27, 2010
A spiking neuron as information bottleneckLars Buesing, Wolfgang Maass
Neural Computation|March 27, 2010
Multilayer processing of spatiotemporal spike patterns in a neuron with active dendritesYingxue Wang, Shih-Chii Liu
Neural Computation|March 27, 2010
Estimating a state-space model from point process observations: a note on convergenceKe Yuan, Mahesan Niranjan
Neural Computation|February 13, 2009
Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysicsDashan Gao, Nuno Vasconcelos
Neural Computation|August 16, 2006
On the consistency of the blocked neural network estimator in time series analysisA Sarishvili, Ch Andersson, J Franke, et al.
Neural Computation|May 5, 2010
A computationally efficient method for nonparametric modeling of neural spiking activity with point processesTodd P Coleman, Sridevi S Sarma
Neural Computation|May 12, 2009
A gradient learning rule for the tempotronRobert Urbanczik, Walter Senn
Neural Computation|May 12, 2009
Simplicity and efficiency of integrate-and-fire neuron modelsHans E Plesser, Markus Diesmann
Pageof 300