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Wulfram Gerstner

Identifiers

  • name variant Wulfram Gerstner 0.60 · backfill

Papers (30)

  1. Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data cs.LG · 2026 · author #4
  2. Can Local Learning Match Self-Supervised Backpropagation? cs.LG · 2026 · author #3
  3. Flat Channels to Infinity in Neural Loss Landscapes cs.LG · 2025 · author #4
  4. Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape cs.LG · 2019 · author #4
  5. Biologically plausible deep learning -- but how far can we go with shallow networks? cs.NE · 2019 · author #2
  6. Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity q-bio.NC · 2018 · author #2
  7. On the choice of metric in gradient-based theories of brain function q-bio.NC · 2018 · author #3
  8. BachProp: Learning to Compose Music in Multiple Styles cs.SD · 2018 · author #2
  9. Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation cs.LG · 2018 · author #2
  10. Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules q-bio.NC · 2018 · author #1
  11. Non-linear motor control by local learning in spiking neural networks q-bio.NC · 2017 · author #2
  12. Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory q-bio.NC · 2017 · author #2
  13. Efficient low-dimensional approximation of continuous attractor networks q-bio.NC · 2017 · author #3
  14. Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network q-bio.NC · 2017 · author #2
  15. Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity cs.LG · 2016 · author #2
  16. Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size q-bio.NC · 2016 · author #3
  17. Multi-contact synapses for stable networks: a spike-timing dependent model of dendritic spine plasticity and turnover q-bio.NC · 2016 · author #3
  18. Algorithmic Composition of Melodies with Deep Recurrent Neural Networks stat.ML · 2016 · author #5
  19. Balancing New Against Old Information: The Role of Surprise in Learning stat.ML · 2016 · author #3
  20. Automated point-neuron simplification of data-driven microcircuit models q-bio.NC · 2016 · author #13
  21. Nonlinear Hebbian learning as a unifying principle in receptive field formation q-bio.NC · 2016 · author #2
  22. Fluctuations and information filtering in coupled populations of spiking neurons with adaptation q-bio.NC · 2013 · author #4
  23. Spike timing prediction with active dendrites q-bio.NC · 2013 · author #3
  24. Reward-based learning under hardware constraints - Using a RISC processor embedded in a neuromorphic substrate q-bio.NC · 2013 · author #4
  25. Nonnormal amplification in random balanced neuronal networks q-bio.NC · 2012 · author #3
  26. Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models q-bio.NC · 2010 · author #2
  27. Noise-enhanced computation in a model of a cortical column q-bio.NC · 2005 · author #2
  28. Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing q-bio.NC · 2005 · author #4
  29. Signal buffering in random networks of spiking neurons: microscopic vs. macroscopic phenomena q-bio.NC · 2005 · author #2
  30. Transient Information Flow in a Network of Excitatory and Inhibitory Model Neurons: Role of Noise and Signal Autocorrelation q-bio.NC · 2005 · author #2

Mentions

  • 1712.10158 #2 · arxiv_oai · confidence 0.70 Wulfram Gerstner
  • 1702.06463 #2 · arxiv_oai · confidence 0.70 Wulfram Gerstner
  • 2601.21683 #3 · arxiv_oai · confidence 0.70 Wulfram Gerstner
  • 1311.4206 #4 · backfill · confidence 0.70 Wulfram Gerstner
  • 1311.3586 #3 · backfill · confidence 0.70 Wulfram Gerstner
  • 1303.6708 #4 · backfill · confidence 0.70 Wulfram Gerstner
  • 1204.2945 #3 · backfill · confidence 0.70 Wulfram Gerstner
  • 2605.18557 #4 · arxiv_oai · confidence 0.70 Wulfram Gerstner
  • 1011.4188 #2 · backfill · confidence 0.70 Wulfram Gerstner

Frequent Coauthors