Search Results - Sorbaro, Martino

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  1. 1
    Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

    Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications by Sorbaro, Martino, Liu, Qian, Bortone, Massimo, Sheik, Sadique

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  2. 2
    Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays

    Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays by Hilgen, Gerrit, Sorbaro, Martino, Pirmoradian, Sahar, Muthmann, Jens-Oliver, Kepiro, Ibolya Edit, Ullo, Simona, Ramirez, Cesar Juarez, Puente Encinas, Albert, Maccione, Alessandro, Berdondini, Luca, Murino, Vittorio, Sona, Diego, Cella Zanacchi, Francesca, Sernagor, Evelyne, Hennig, Matthias Helge

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  3. 3
    Adversarial attacks on spiking convolutional neural networks for event-based vision

    Adversarial attacks on spiking convolutional neural networks for event-based vision by Büchel, Julian, Lenz, Gregor, Hu, Yalun, Sheik, Sadique, Sorbaro, Martino

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  4. 4
    Optimal Encoding in Stochastic Latent-Variable Models

    Optimal Encoding in Stochastic Latent-Variable Models by Rule, Michael E, Sorbaro, Martino, Hennig, Matthias H

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  5. 5
    Bio-inspired, task-free continual learning through activity regularization

    Bio-inspired, task-free continual learning through activity regularization by Lässig, Francesco, Aceituno, Pau Vilimelis, Sorbaro, Martino, Grewe, Benjamin F.

    Published in Biological cybernetics
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  6. 6
    Bio-Inspired, Task-Free Continual Learning through Activity Regularization

    Bio-Inspired, Task-Free Continual Learning through Activity Regularization by Lässig, Francesco, Aceituno, Pau Vilimelis, Martino Sorbaro, Grewe, Benjamin F

    Published in arXiv.org
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  7. 7
    Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision

    Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision by Büchel, Julian, Lenz, Gregor, Hu, Yalun, Sheik, Sadique, Martino Sorbaro

    Published in arXiv.org
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  8. 8
    Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization

    Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization by Srinivasan, Ravi, Mignacco, Francesca, Martino Sorbaro, Refinetti, Maria, Cooper, Avi, Kreiman, Gabriel, Dellaferrera, Giorgia

    Published in arXiv.org
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  9. 9
    Scaling Spike Detection and Sorting for Next Generation Electrophysiology

    Scaling Spike Detection and Sorting for Next Generation Electrophysiology by Hennig, Matthias H, Hurwitz, Cole, Martino Sorbaro

    Published in arXiv.org
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  10. 10
    Optimizing the energy consumption of spiking neural networks for neuromorphic applications

    Optimizing the energy consumption of spiking neural networks for neuromorphic applications by Martino Sorbaro, Liu, Qian, Bortone, Massimo, Sheik, Sadique

    Published in arXiv.org
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  11. 11
    Statistical models of neural activity, criticality, and Zipf's law

    Statistical models of neural activity, criticality, and Zipf's law by Martino Sorbaro, Herrmann, J Michael, Hennig, Matthias H

    Published in arXiv.org
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  12. 12
    Local learning rules to attenuate forgetting in neural networks

    Local learning rules to attenuate forgetting in neural networks by Deistler, Michael, Martino Sorbaro, Rule, Michael E, Hennig, Matthias H

    Published in arXiv.org
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