Showing 1 - 14 results of 14 for search 'L. F. Abbott', query time: 0.05s Refine Results
  1. 1
    Training dynamically balanced excitatory-inhibitory networks.

    Training dynamically balanced excitatory-inhibitory networks. by Alessandro Ingrosso, L F Abbott

    Published 2019-01-01
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  2. 2
    Pairwise analysis can account for network structures arising from spike-timing dependent plasticity.

    Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. by Baktash Babadi, L F Abbott

    Published 2013-01-01
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  3. 3
    Transferring learning from external to internal weights in echo-state networks with sparse connectivity.

    Transferring learning from external to internal weights in echo-state networks with sparse connectivity. by David Sussillo, L F Abbott

    Published 2012-01-01
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  4. 4
    Intrinsic stability of temporally shifted spike-timing dependent plasticity.

    Intrinsic stability of temporally shifted spike-timing dependent plasticity. by Baktash Babadi, L F Abbott

    Published 2010-11-01
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  5. 5
    Sparse RNNs can support high-capacity classification.

    Sparse RNNs can support high-capacity classification. by Denis Turcu, L F Abbott

    Published 2022-12-01
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  6. 6
    Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity.

    Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity. by Baktash Babadi, L F Abbott

    Published 2016-03-01
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  7. 7
    Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights.

    Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights. by Ramin Khajeh, Francesco Fumarola, L F Abbott

    Published 2022-02-01
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  8. 8
    A complex-valued firing-rate model that approximates the dynamics of spiking networks.

    A complex-valued firing-rate model that approximates the dynamics of spiking networks. by Evan S Schaffer, Srdjan Ostojic, L F Abbott

    Published 2013-10-01
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  9. 9
    Lyapunov spectra of chaotic recurrent neural networks

    Lyapunov spectra of chaotic recurrent neural networks by Rainer Engelken, Fred Wolf, L. F. Abbott

    Published 2023-10-01
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  10. 10
    Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity.

    Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity. by Hagai Lalazar, L F Abbott, Eilon Vaadia

    Published 2016-05-01
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  11. 11
    Input correlations impede suppression of chaos and learning in balanced firing-rate networks.

    Input correlations impede suppression of chaos and learning in balanced firing-rate networks. by Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L F Abbott

    Published 2022-12-01
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  12. 12
    full-FORCE: A target-based method for training recurrent networks.

    full-FORCE: A target-based method for training recurrent networks. by Brian DePasquale, Christopher J Cueva, Kanaka Rajan, G Sean Escola, L F Abbott

    Published 2018-01-01
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  13. 13
    Variation in the large-scale organization of gene expression levels in the hippocampus relates to stable epigenetic variability in behavior.

    Variation in the large-scale organization of gene expression levels in the hippocampus relates to stable epigenetic variability in behavior. by Mark D Alter, Daniel B Rubin, Keri Ramsey, Rebecca Halpern, Dietrich A Stephan, L F Abbott, Rene Hen

    Published 2008-10-01
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  14. 14
    The spatial and temporal structure of neural activity across the fly brain

    The spatial and temporal structure of neural activity across the fly brain by Evan S. Schaffer, Neeli Mishra, Matthew R. Whiteway, Wenze Li, Michelle B. Vancura, Jason Freedman, Kripa B. Patel, Venkatakaushik Voleti, Liam Paninski, Elizabeth M. C. Hillman, L. F. Abbott, Richard Axel

    Published 2023-09-01
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