Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Wulfram Gerstner

Showing results (41-50 of 120) with videos related to

Pageof 12
Sort By:
Current Opinion in Neurobiology|April 22, 2017
The temporal paradox of Hebbian learning and homeostatic plasticityFriedemann Zenke, Wulfram Gerstner, Surya Ganguli
Chaos (Woodbury, N.Y.)|July 11, 2006
Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noiseMagnus J E Richardson, Wulfram Gerstner
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2019
Biologically plausible deep learning - But how far can we go with shallow networks?Bernd Illing, Wulfram Gerstner, Johanni Brea
Nature Neuroscience|August 18, 2009
Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learningGediminas Luksys, Wulfram Gerstner, Carmen Sandi
Plos Computational Biology|July 7, 2018
Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagationHesam Setareh, Moritz Deger, Wulfram Gerstner
Plos Computational Biology|November 19, 2013
Synaptic plasticity in neural networks needs homeostasis with a fast rate detectorFriedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Frontiers in Computational Neuroscience|December 5, 2019
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation ModelChiara Gastaldi, Samuel Muscinelli, Wulfram Gerstner
Plos Computational Biology|October 1, 2016
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field FormationCarlos S N Brito, Wulfram Gerstner
Plos Computational Biology|February 12, 2024
Learning what matters: Synaptic plasticity with invariance to second-order input correlationsCarlos Stein Naves de Brito, Wulfram Gerstner
Nature Communications|April 22, 2015
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networksFriedemann Zenke, Everton J Agnes, Wulfram Gerstner
Pageof 12

Showing results (41-50 of 120) with videos related to

Sort By:
Pageof 12
Current Opinion in Neurobiology|April 22, 2017
The temporal paradox of Hebbian learning and homeostatic plasticityFriedemann Zenke, Wulfram Gerstner, Surya Ganguli
Chaos (Woodbury, N.Y.)|July 11, 2006
Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noiseMagnus J E Richardson, Wulfram Gerstner
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2019
Biologically plausible deep learning - But how far can we go with shallow networks?Bernd Illing, Wulfram Gerstner, Johanni Brea
Nature Neuroscience|August 18, 2009
Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learningGediminas Luksys, Wulfram Gerstner, Carmen Sandi
Plos Computational Biology|July 7, 2018
Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagationHesam Setareh, Moritz Deger, Wulfram Gerstner
Plos Computational Biology|November 19, 2013
Synaptic plasticity in neural networks needs homeostasis with a fast rate detectorFriedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Frontiers in Computational Neuroscience|December 5, 2019
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation ModelChiara Gastaldi, Samuel Muscinelli, Wulfram Gerstner
Plos Computational Biology|October 1, 2016
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field FormationCarlos S N Brito, Wulfram Gerstner
Plos Computational Biology|February 12, 2024
Learning what matters: Synaptic plasticity with invariance to second-order input correlationsCarlos Stein Naves de Brito, Wulfram Gerstner
Nature Communications|April 22, 2015
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networksFriedemann Zenke, Everton J Agnes, Wulfram Gerstner
Pageof 12