Hasil Pencarian - Robert Legenstein

  • Menampilkan 1 - 18 hasil dari 18
Perbaiki Hasil
  1. 1
    Quantized rewiring: hardware-aware training of sparse deep neural networks

    Quantized rewiring: hardware-aware training of sparse deep neural networks oleh Horst Petschenig, Robert Legenstein

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring

    Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring oleh Thomas Limbacher, Robert Legenstein

    Diterbitkan 2020-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Context association in pyramidal neurons through local synaptic plasticity in apical dendrites

    Context association in pyramidal neurons through local synaptic plasticity in apical dendrites oleh Maximilian Baronig, Robert Legenstein

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment.

    Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment. oleh Robert Legenstein, Wolfgang Maass

    Diterbitkan 2014-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Editorial: Focus on algorithms for neuromorphic computing

    Editorial: Focus on algorithms for neuromorphic computing oleh Robert Legenstein, Arindam Basu, Priyadarshini Panda

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Reinforcement learning on slow features of high-dimensional input streams.

    Reinforcement learning on slow features of high-dimensional input streams. oleh Robert Legenstein, Niko Wilbert, Laurenz Wiskott

    Diterbitkan 2010-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback.

    A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. oleh Robert Legenstein, Dejan Pecevski, Wolfgang Maass

    Diterbitkan 2008-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    Network Plasticity as Bayesian Inference.

    Network Plasticity as Bayesian Inference. oleh David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

    Diterbitkan 2015-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  9. 9
    Fast learning without synaptic plasticity in spiking neural networks

    Fast learning without synaptic plasticity in spiking neural networks oleh Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein, Wolfgang Maass

    Diterbitkan 2024-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  10. 10
    The location of the axon initial segment affects the bandwidth of spike initiation dynamics.

    The location of the axon initial segment affects the bandwidth of spike initiation dynamics. oleh Christophe Verbist, Michael G Müller, Huibert D Mansvelder, Robert Legenstein, Michele Giugliano

    Diterbitkan 2020-07-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  11. 11
    Spike frequency adaptation supports network computations on temporally dispersed information

    Spike frequency adaptation supports network computations on temporally dispersed information oleh Darjan Salaj, Anand Subramoney, Ceca Kraisnikovic, Guillaume Bellec, Robert Legenstein, Wolfgang Maass

    Diterbitkan 2021-07-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  12. 12
    Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.

    Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. oleh Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass, Robert Legenstein

    Diterbitkan 2015-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  13. 13
    Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

    Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses oleh Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein, Themis Prodromakis

    Diterbitkan 2016-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  14. 14
    Classification of Whisker Deflections From Evoked Responses in the Somatosensory Barrel Cortex With Spiking Neural Networks

    Classification of Whisker Deflections From Evoked Responses in the Somatosensory Barrel Cortex With Spiking Neural Networks oleh Horst Petschenig, Marta Bisio, Marta Maschietto, Alessandro Leparulo, Robert Legenstein, Stefano Vassanelli

    Diterbitkan 2022-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  15. 15
    A solution to the learning dilemma for recurrent networks of spiking neurons

    A solution to the learning dilemma for recurrent networks of spiking neurons oleh Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass

    Diterbitkan 2020-07-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  16. 16
    Cortical oscillations support sampling-based computations in spiking neural networks.

    Cortical oscillations support sampling-based computations in spiking neural networks. oleh Agnes Korcsak-Gorzo, Michael G Müller, Andreas Baumbach, Luziwei Leng, Oliver J Breitwieser, Sacha J van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A Petrovici

    Diterbitkan 2022-03-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  17. 17
    Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

    Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype oleh Chen Liu, Guillaume Bellec, Bernhard Vogginger, David Kappel, David Kappel, David Kappel, Johannes Partzsch, Felix Neumärker, Sebastian Höppner, Wolfgang Maass, Steve B. Furber, Robert Legenstein, Christian G. Mayr

    Diterbitkan 2018-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  18. 18
    Embodied Synaptic Plasticity With Online Reinforcement Learning

    Embodied Synaptic Plasticity With Online Reinforcement Learning oleh Jacques Kaiser, Michael Hoff, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, David Kappel, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann

    Diterbitkan 2019-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: