Showing results (1-10 of 124) with videos related to
Sort By:
Pageof 13
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 BreaPhysical Review Letters|February 6, 2025
Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking NeuronsValentin Schmutz, Johanni Brea, Wulfram GerstnerProceedings of the National Academy of Sciences of the United States of America|October 31, 2025
Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scalingGeorgios Iatropoulos, Wulfram Gerstner, Johanni BreaNeural Computation|November 22, 2016
Exponentially Long Orbits in Hopfield Neural NetworksSamuel P Muscinelli, Wulfram Gerstner, Johanni BreaNature Communications|May 23, 2023
Computational models of episodic-like memory in food-caching birdsJohanni Brea, Nicola S Clayton, Wulfram GerstnerNeural Computation|January 5, 2021
Learning in Volatile Environments With the Bayes Factor SurpriseVasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, et al.Current Opinion in Neurobiology|August 24, 2023
Surprise and novelty in the brainAlireza Modirshanechi, Sophia Becker, Johanni Brea, et al.Frontiers in Neural Circuits|August 16, 2018
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning RulesWulfram Gerstner, Marco Lehmann, Vasiliki Liakoni, et al.Plos Computational Biology|April 10, 2020
On the choice of metric in gradient-based theories of brain functionSimone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, et al.Neuroimage|December 7, 2021
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision makingVasiliki Liakoni, Marco P Lehmann, Alireza Modirshanechi, et al.Pageof 13