Hasil Pencarian - Jochen Triesch

Perbaiki Hasil
  1. 1
    Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring.

    Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring. oleh Daniel Miner, Jochen Triesch

    Diterbitkan 2016-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Nonrandom network connectivity comes in pairs

    Nonrandom network connectivity comes in pairs oleh Felix Z. Hoffmann, Jochen Triesch

    Diterbitkan 2017-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Bridging structure and function: A model of sequence learning and prediction in primary visual cortex.

    Bridging structure and function: A model of sequence learning and prediction in primary visual cortex. oleh Christian Klos, Daniel Miner, Jochen Triesch

    Diterbitkan 2018-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Learning the optimal control of coordinated eye and head movements.

    Learning the optimal control of coordinated eye and head movements. oleh Sohrab Saeb, Cornelius Weber, Jochen Triesch

    Diterbitkan 2011-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning.

    Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning. oleh Jürgen Eser, Pengsheng Zheng, Jochen Triesch

    Diterbitkan 2014-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Independent component analysis in spiking neurons.

    Independent component analysis in spiking neurons. oleh Cristina Savin, Prashant Joshi, Jochen Triesch

    Diterbitkan 2010-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex.

    Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. oleh Pengsheng Zheng, Christos Dimitrakakis, Jochen Triesch

    Diterbitkan 2013-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding

    Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding oleh Qingpeng Zhu, Jochen Triesch, Bertram E. Shi

    Diterbitkan 2017-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  9. 9
    Variability in infant social responsiveness: Age and situational differences in attention-following

    Variability in infant social responsiveness: Age and situational differences in attention-following oleh Yueyan Tang, Jochen Triesch, Gedeon O. Deák

    Diterbitkan 2023-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  10. 10
    PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks

    PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks oleh Marius Vieth, Tristan M. Stöber, Jochen Triesch

    Diterbitkan 2021-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  11. 11
    Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network.

    Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network. oleh Bruno Del Papa, Viola Priesemann, Jochen Triesch

    Diterbitkan 2017-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  12. 12
    A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.

    A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. oleh Quan Wang, Constantin A Rothkopf, Jochen Triesch

    Diterbitkan 2017-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  13. 13
    Competition for synaptic building blocks shapes synaptic plasticity

    Competition for synaptic building blocks shapes synaptic plasticity oleh Jochen Triesch, Anh Duong Vo, Anne-Sophie Hafner

    Diterbitkan 2018-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  14. 14
    Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.

    Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. oleh Christoph Hartmann, Andreea Lazar, Bernhard Nessler, Jochen Triesch

    Diterbitkan 2015-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  15. 15
    SORN: a self-organizing recurrent neural network

    SORN: a self-organizing recurrent neural network oleh Andreea Lazar, Gordon Pipa, Gordon Pipa, Jochen Triesch

    Diterbitkan 2009-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  16. 16
    Robot End Effector Tracking Using Predictive Multisensory Integration

    Robot End Effector Tracking Using Predictive Multisensory Integration oleh Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi

    Diterbitkan 2018-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  17. 17
    A multi-scale computational model of the effects of TMS on motor cortex [version 3; referees: 2 approved]

    A multi-scale computational model of the effects of TMS on motor cortex [version 3; referees: 2 approved] oleh Hyeon Seo, Natalie Schaworonkow, Sung Chan Jun, Jochen Triesch

    Diterbitkan 2017-05-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  18. 18
    Visual working memory contents bias ambiguous structure from motion perception.

    Visual working memory contents bias ambiguous structure from motion perception. oleh Lisa Scocchia, Matteo Valsecchi, Karl R Gegenfurtner, Jochen Triesch

    Diterbitkan 2013-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  19. 19
    A multi-scale computational model of the effects of TMS on motor cortex [version 2; referees: 2 approved]

    A multi-scale computational model of the effects of TMS on motor cortex [version 2; referees: 2 approved] oleh Hyeon Seo, Natalie Schaworonkow, Sung Chan Jun, Jochen Triesch

    Diterbitkan 2017-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  20. 20
    Bayesian cue integration as a developmental outcome of reward mediated learning.

    Bayesian cue integration as a developmental outcome of reward mediated learning. oleh Thomas H Weisswange, Constantin A Rothkopf, Tobias Rodemann, Jochen Triesch

    Diterbitkan 2011-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: