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Frontiers in Synaptic Neuroscience
|
March 23, 2011
From hebb rules to spike-timing-dependent plasticity: a personal account
Wulfram Gerstner
Frontiers in Synaptic Neuroscience
|
March 23, 2011
Voltage and Spike Timing Interact in STDP - A Unified Model
Claudia Clopath, Wulfram Gerstner
Journal of Physiology, Paris
|
November 18, 2005
Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation
Julien Mayor, Wulfram Gerstner
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|
January 18, 2017
Hebbian plasticity requires compensatory processes on multiple timescales
Friedemann Zenke, Wulfram Gerstner
Science (New York, N.Y.)
|
October 17, 2009
Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud
Journal of Neurophysiology
|
July 15, 2005
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
Romain Brette, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
June 29, 2006
From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness
Yuval Aviel, Wulfram Gerstner
Frontiers in Neural Circuits
|
February 3, 2016
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Nicolas Frémaux, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 31, 2005
Signal buffering in random networks of spiking neurons: microscopic versus macroscopic phenomena
Julien Mayor, Wulfram Gerstner
Journal of Physiology, Paris
|
November 9, 2005
Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival
Renaud Jolivet, Wulfram Gerstner
Page
of 12
Search research articles
Search
Showing results (1-10 of 120) with videos related to
Sort By:
Page
of 12
Frontiers in Synaptic Neuroscience
|
March 23, 2011
From hebb rules to spike-timing-dependent plasticity: a personal account
Wulfram Gerstner
Frontiers in Synaptic Neuroscience
|
March 23, 2011
Voltage and Spike Timing Interact in STDP - A Unified Model
Claudia Clopath, Wulfram Gerstner
Journal of Physiology, Paris
|
November 18, 2005
Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation
Julien Mayor, Wulfram Gerstner
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|
January 18, 2017
Hebbian plasticity requires compensatory processes on multiple timescales
Friedemann Zenke, Wulfram Gerstner
Science (New York, N.Y.)
|
October 17, 2009
Neuroscience. How good are neuron models?
Wulfram Gerstner, Richard Naud
Journal of Neurophysiology
|
July 15, 2005
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
Romain Brette, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
June 29, 2006
From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness
Yuval Aviel, Wulfram Gerstner
Frontiers in Neural Circuits
|
February 3, 2016
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Nicolas Frémaux, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
December 31, 2005
Signal buffering in random networks of spiking neurons: microscopic versus macroscopic phenomena
Julien Mayor, Wulfram Gerstner
Journal of Physiology, Paris
|
November 9, 2005
Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival
Renaud Jolivet, Wulfram Gerstner
Page
of 12