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Neural computation

Showing results (21-30 of 3,000) with videos related to

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Neural Computation|April 19, 2000
Impact of correlated inputs on the output of the integrate- and-fire modelJ Feng, D Brown
Neural Computation|April 19, 2000
Second-order learning algorithm with squared penalty termK Saito, R Nakano
Neural Computation|May 22, 2001
Patterns of synchrony in neural networks with spike adaptationC van Vreeswijk, D Hansel
Neural Computation|May 22, 2001
Synchronization in relaxation oscillator networks with conduction delaysJ J Fox, C Jayaprakash, D Wang, et al.
Neural Computation|May 22, 2001
Stochastic organization of output codes in multiclass learning problemsW Utschick, W Weichselberger
Neural Computation|January 23, 2002
On the complexity of computing and learning with multiplicative neural networksMichael Schmitt
Neural Computation|January 23, 2002
The time-rescaling theorem and its application to neural spike train data analysisEmery N Brown, Riccardo Barbieri, Valérie Ventura, et al.
Neural Computation|January 23, 2002
The impact of spike timing variability on the signal-encoding performance of neural spiking modelsAmit Manwani, Peter N Steinmetz, Christof Koch
Neural Computation|January 23, 2002
Temporal correlations in stochastic networks of spiking neuronsCarsten Meyer, Carl van Vreeswijk
Neural Computation|November 14, 2001
Gaussian process approach to spiking neurons for inhomogeneous Poisson inputsK I Amemori, S Ishii
Pageof 300

Showing results (21-30 of 3,000) with videos related to

Sort By:
Pageof 300
Neural Computation|April 19, 2000
Impact of correlated inputs on the output of the integrate- and-fire modelJ Feng, D Brown
Neural Computation|April 19, 2000
Second-order learning algorithm with squared penalty termK Saito, R Nakano
Neural Computation|May 22, 2001
Patterns of synchrony in neural networks with spike adaptationC van Vreeswijk, D Hansel
Neural Computation|May 22, 2001
Synchronization in relaxation oscillator networks with conduction delaysJ J Fox, C Jayaprakash, D Wang, et al.
Neural Computation|May 22, 2001
Stochastic organization of output codes in multiclass learning problemsW Utschick, W Weichselberger
Neural Computation|January 23, 2002
On the complexity of computing and learning with multiplicative neural networksMichael Schmitt
Neural Computation|January 23, 2002
The time-rescaling theorem and its application to neural spike train data analysisEmery N Brown, Riccardo Barbieri, Valérie Ventura, et al.
Neural Computation|January 23, 2002
The impact of spike timing variability on the signal-encoding performance of neural spiking modelsAmit Manwani, Peter N Steinmetz, Christof Koch
Neural Computation|January 23, 2002
Temporal correlations in stochastic networks of spiking neuronsCarsten Meyer, Carl van Vreeswijk
Neural Computation|November 14, 2001
Gaussian process approach to spiking neurons for inhomogeneous Poisson inputsK I Amemori, S Ishii
Pageof 300