Search Results - Piekniewski, Filip

  • Showing 1 - 13 results of 13
Refine Results
  1. 1
    Spontaneous scale-free structure of spike flow graphs in recurrent neural networks

    Spontaneous scale-free structure of spike flow graphs in recurrent neural networks by Piȩkniewski, Filip, Schreiber, Tomasz

    Published in Neural networks
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks

    Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks by Piersa, Jaroslaw, Piekniewski, Filip, Schreiber, Tomasz

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    A spiking model of superior colliculus for bottom-up saliency

    A spiking model of superior colliculus for bottom-up saliency by Richert, Micah, Nageswaran, Jayram Moorkanikara, Sokol, Sach, Szatmary, Botond, Petre, Csaba, Piekniewski, Filip, Izhikevich, Eugene

    Published in BMC neuroscience
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Balanced excitation and inhibition in a spiking model of V1

    Balanced excitation and inhibition in a spiking model of V1 by Piekniewski, Filip, Richert, Micah, Fisher, Dimitry, Szatmary, Botond, Petre, Csaba, Sokol, Sach, Izhikevich, Eugene

    Published in BMC neuroscience
    Get full text
    Items that this one cites
    Article
    Save to List
    Saved in:
  5. 5
    Emergence of bottom-up saliency in a spiking model of V1

    Emergence of bottom-up saliency in a spiking model of V1 by Szatmáry, Botond, Richer, Micah, Nageswaran, Jayram Moorkanikara, Petre, Csaba, Piekniewski, Filip, Sokol, Sach, Izhikevich, Eugene M

    Published in BMC neuroscience
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  6. 6
    Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks

    Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks by Piekniewski, Filip

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  7. 7
    Spontaneous emergence of simple and complex receptive fields in a spiking model of V1

    Spontaneous emergence of simple and complex receptive fields in a spiking model of V1 by Izhikevich, Eugene M, Piekniewski, Filip, Nageswaran, Jayram, Petre, Csaba, Richert, Micah, Sokol, Sach, Meier, Philip, Buibas, Marius, Fisher, Dimitry, Szatmary, Botond

    Published in BMC neuroscience
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns

    Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns by Piekniewski, F.

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  9. 9
    Robustness of power laws in degree distributions for spiking neural networks

    Robustness of power laws in degree distributions for spiking neural networks by Piekniewski, F.

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  10. 10
    Emergence of Scale-free Spike Flow Graphs in Recurrent Neural Networks

    Emergence of Scale-free Spike Flow Graphs in Recurrent Neural Networks by Piekniewski, Filip, Schreiber, Tomasz

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  11. 11
    Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network

    Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network by Piekniewski, Filip, Laurent, Patryk, Petre, Csaba, Richert, Micah, Fisher, Dimitry, Hylton, Todd

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback

    Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback by Richert, Micah, Fisher, Dimitry, Piekniewski, Filip, Izhikevich, Eugene M, Hylton, Todd L

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Phase diagrams for locally Hopfield neural networks in presence of correlated patterns

    Phase diagrams for locally Hopfield neural networks in presence of correlated patterns by Piekniewski, F., Schreiber, T.

    Request full text
    Conference Proceeding
    Save to List
    Saved in:

Search Tools: