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W Gerstner

Showing results (11-20 of 33) with videos related to

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Frontiers in Synaptic Neuroscience|July 19, 2012
Spike-timing-dependent plasticity: a comprehensive overviewH Markram, W Gerstner, P J Sjöström
Biological Cybernetics|January 1, 1993
Why spikes? Hebbian learning and retrieval of time-resolved excitation patternsW Gerstner, R Ritz, J L van Hemmen
Bio Systems|January 14, 1999
How the threshold of a neuron determines its capacity for coincidence detectionR Kempter, W Gerstner, J L van Hemmen
Network (Bristol, England)|April 30, 1999
Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortexS Wimbauer, W Gerstner, J L van Hemmen
Biological Cybernetics|January 1, 1993
A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak lockingW Gerstner, R Ritz, J L van Hemmen
Neural Computation|November 14, 2001
Intrinsic stabilization of output rates by spike-based Hebbian learningR Kempter, W Gerstner, J L van Hemmen
Surgical Neurology|January 1, 1997
Therapeutic management of grade IV aneurysm patientsH Gumprecht, R Winkler, W Gerstner, et al.
Neural Computation|November 15, 1996
What matters in neuronal locking?W Gerstner, J L van Hemmen, J D Cowan
Neural Computation|September 1, 1995
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective burstsC Fohlmeister, W Gerstner, R Ritz, et al.
Journal of Computational Neuroscience|June 1, 1996
Vertical signal flow and oscillations in a three-layer model of the cortexU Fuentes, R Ritz, W Gerstner, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Frontiers in Synaptic Neuroscience|July 19, 2012
Spike-timing-dependent plasticity: a comprehensive overviewH Markram, W Gerstner, P J Sjöström
Biological Cybernetics|January 1, 1993
Why spikes? Hebbian learning and retrieval of time-resolved excitation patternsW Gerstner, R Ritz, J L van Hemmen
Bio Systems|January 14, 1999
How the threshold of a neuron determines its capacity for coincidence detectionR Kempter, W Gerstner, J L van Hemmen
Network (Bristol, England)|April 30, 1999
Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortexS Wimbauer, W Gerstner, J L van Hemmen
Biological Cybernetics|January 1, 1993
A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak lockingW Gerstner, R Ritz, J L van Hemmen
Neural Computation|November 14, 2001
Intrinsic stabilization of output rates by spike-based Hebbian learningR Kempter, W Gerstner, J L van Hemmen
Surgical Neurology|January 1, 1997
Therapeutic management of grade IV aneurysm patientsH Gumprecht, R Winkler, W Gerstner, et al.
Neural Computation|November 15, 1996
What matters in neuronal locking?W Gerstner, J L van Hemmen, J D Cowan
Neural Computation|September 1, 1995
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective burstsC Fohlmeister, W Gerstner, R Ritz, et al.
Journal of Computational Neuroscience|June 1, 1996
Vertical signal flow and oscillations in a three-layer model of the cortexU Fuentes, R Ritz, W Gerstner, et al.
Pageof 4