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W Gerstner

Showing results (1-10 of 33) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|October 23, 2001
Coding properties of spiking neurons: reverse and cross-correlationsW Gerstner
Neural Computation|January 15, 2000
Population dynamics of spiking neurons: fast transients, asynchronous states, and lockingW Gerstner
Biological Cybernetics|September 28, 2000
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activityA Arleo, W Gerstner
Network (Bristol, England)|January 5, 2002
Effect of lateral connections on the accuracy of the population code for a network of spiking neuronsM Spiridon, W Gerstner
Journal of Computational Neuroscience|November 22, 2001
Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuronA Herrmann, W Gerstner
Journal of Computational Neuroscience|June 8, 2002
Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron dataA Herrmann, W Gerstner
Network (Bristol, England)|September 25, 1999
Noise spectrum and signal transmission through a population of spiking neuronsM Spiridon, W Gerstner
Neural Computation|January 15, 2000
Noise in integrate-and-fire neurons: from stochastic input to escape ratesH E Plesser, W Gerstner
Journal of Computational Neuroscience|January 1, 1997
Learning navigational maps through potentiation and modulation of hippocampal place cellsW Gerstner, L F Abbott
Biological Cybernetics|January 1, 1992
Universality in neural networks: the importance of the 'mean firing rate'W Gerstner, J L van Hemmen
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Neural Networks : the Official Journal of the International Neural Network Society|October 23, 2001
Coding properties of spiking neurons: reverse and cross-correlationsW Gerstner
Neural Computation|January 15, 2000
Population dynamics of spiking neurons: fast transients, asynchronous states, and lockingW Gerstner
Biological Cybernetics|September 28, 2000
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activityA Arleo, W Gerstner
Network (Bristol, England)|January 5, 2002
Effect of lateral connections on the accuracy of the population code for a network of spiking neuronsM Spiridon, W Gerstner
Journal of Computational Neuroscience|November 22, 2001
Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuronA Herrmann, W Gerstner
Journal of Computational Neuroscience|June 8, 2002
Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron dataA Herrmann, W Gerstner
Network (Bristol, England)|September 25, 1999
Noise spectrum and signal transmission through a population of spiking neuronsM Spiridon, W Gerstner
Neural Computation|January 15, 2000
Noise in integrate-and-fire neurons: from stochastic input to escape ratesH E Plesser, W Gerstner
Journal of Computational Neuroscience|January 1, 1997
Learning navigational maps through potentiation and modulation of hippocampal place cellsW Gerstner, L F Abbott
Biological Cybernetics|January 1, 1992
Universality in neural networks: the importance of the 'mean firing rate'W Gerstner, J L van Hemmen
Pageof 4