Wulfram Gerstner

Active 1990–2026

206
Papers
28,880
Citations
77
h-index
156
i10-index

Citations

Citations per year for Wulfram Gerstner1966: 1 citations1972: 1 citations1973: 1 citations1975: 1 citations1977: 1 citations1982: 2 citations1986: 5 citations1987: 1 citations1989: 3 citations1991: 7 citations1992: 5 citations1993: 39 citations1994: 19 citations1995: 25 citations1996: 41 citations1997: 75 citations1998: 73 citations1999: 106 citations2000: 151 citations2001: 210 citations2002: 188 citations2003: 192 citations2004: 238 citations2005: 314 citations2006: 406 citations2007: 414 citations2008: 482 citations2009: 444 citations2010: 582 citations2011: 612 citations2012: 571 citations2013: 564 citations2014: 620 citations2015: 627 citations2016: 647 citations2017: 613 citations2018: 655 citations2019: 849 citations2020: 960 citations2021: 928 citations2022: 748 citations2023: 679 citations2024: 742 citations2025: 462 citations2026: 99 citations1967–1971: no citations, so these years are not shown1974: no citations, so this year is not shown1976: no citations, so this year is not shown1978–1981: no citations, so these years are not shown1983–1985: no citations, so these years are not shown1988: no citations, so this year is not shown1990: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,519 citing papers, 20.3% of this breakdownGermany: 1,219 citing papers, 9.8% of this breakdownUnited Kingdom: 1,204 citing papers, 9.7% of this breakdownChina: 1,057 citing papers, 8.5% of this breakdownFrance: 690 citing papers, 5.6% of this breakdownSwitzerland: 687 citing papers, 5.6% of this breakdownJapan: 439 citing papers, 3.6% of this breakdownSpain: 430 citing papers, 3.5% of this breakdownItaly: 405 citing papers, 3.3% of this breakdownCanada: 384 citing papers, 3.1% of this breakdownNetherlands: 302 citing papers, 2.4% of this breakdownAustralia: 251 citing papers, 2% of this breakdown
0%20.3%Other 22.6%

Fields

  • Neuroscience47.3%
  • Engineering29.2%
  • Computer Science13.9%
  • Physics and Astronomy2.8%
  • Biochemistry, Genetics and Molecular Biology2.5%
  • Medicine1.3%
  • Other3%

Topics

  • Neural dynamics and brain function21.6%
  • Advanced Memory and Neural Computing14.5%
  • Neuroscience and Neural Engineering6.4%
  • Neural Networks and Applications4.3%
  • stochastic dynamics and bifurcation4.2%
  • Neuroscience and Neuropharmacology Research3.9%
  • Other45.1%

Coauthors

All papers

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  1. Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity

    Authors: , - Journal of Neurophysiology 2005 cited by 1,340

  2. Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks

    Authors: , , , , - Science 2011 cited by 890

  3. Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

    Authors: , , , - Cambridge University Press eBooks 2014 cited by 1,482

  4. Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules

    Authors: , - Frontiers in Neural Circuits 2016 cited by 424

  5. Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules

    Authors: , , , , - Frontiers in Neural Circuits 2018 cited by 286

  6. Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity

    Authors: , - Journal of Neuroscience 2006 cited by 666

  7. Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks

    Authors: , , - Nature Communications 2015 cited by 414

  8. A neuronal learning rule for sub-millisecond temporal coding

    Authors: , , , - Nature 1996 cited by 1,157

  9. Mathematical formulations of Hebbian learning

    Authors: , - Biological Cybernetics, Biol. Cybern. 2002 cited by 420

  10. Spike-Timing-Dependent Plasticity: A Comprehensive Overview

    Authors: , , - Frontiers in Synaptic Neuroscience 2012 cited by 380

  11. Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

    Authors: , , - PLoS Computational Biology, PLoS Comput. Biol. 2013 cited by 216

  12. Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements

    Authors: , , - Neuron 2014 cited by 384

  13. Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape

    Authors: , , , - arXiv (Cornell University), CoRR 2019 cited by 59

  14. Connectivity reflects coding: a model of voltage-based STDP with homeostasis

    Authors: , , , - Nature Neuroscience 2010 cited by 636

  15. Spiking Neuron Models: Single Neurons, Populations, Plasticity

    Authors: , - Cambridge University Press eBooks 2002 cited by 3,014

  16. Hebbian learning and spiking neurons

    Authors: , , - Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 1999 cited by 700

  17. Time structure of the activity in neural network models

    Authors: - Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 1995 cited by 540

  18. Firing patterns in the adaptive exponential integrate-and-fire model

    Authors: , , , - Biological Cybernetics, Biol. Cybern. 2008 cited by 337

  19. Noninvasive brain-actuated control of a mobile robot by human EEG

    Authors: , , , - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2004 cited by 739

  20. Hebbian plasticity requires compensatory processes on multiple timescales

    Authors: , - Philosophical Transactions of the Royal Society B Biological Sciences 2017 cited by 227

  21. Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

    Authors: , , , , , , , , , , , - Neuron 2021 cited by 116

  22. The temporal paradox of Hebbian learning and homeostatic plasticity

    Authors: , , - Current Opinion in Neurobiology 2017 cited by 218

  23. Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

    Authors: , - eLife 2017 cited by 89

  24. Temporal whitening by power-law adaptation in neocortical neurons

    Authors: , , , - Nature Neuroscience 2013 cited by 209