Search Results - Nicolas Brunel

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  1. 1
    Unsupervised Learning of Persistent and Sequential Activity

    Unsupervised Learning of Persistent and Sequential Activity by Ulises Pereira, Nicolas Brunel, Nicolas Brunel, Nicolas Brunel, Nicolas Brunel

    Published 2020-01-01
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  2. 2
    Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex?

    Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? by Francesca Barbieri, Nicolas Brunel, Nicolas Brunel, Nicolas Brunel

    Published 2008-07-01
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  3. 3
    Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models

    Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models by Michael Graupner, Nicolas Brunel, Nicolas Brunel

    Published 2010-09-01
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  4. 4
    Irregular persistent activity induced by synaptic excitatory feedback

    Irregular persistent activity induced by synaptic excitatory feedback by Francesca Barbieri, Nicolas Brunel, Nicolas Brunel

    Published 2007-11-01
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  5. 5
    Optimal properties of analog perceptrons with excitatory weights.

    Optimal properties of analog perceptrons with excitatory weights. by Claudia Clopath, Nicolas Brunel

    Published 2013-01-01
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  6. 6
    Dynamic control of sequential retrieval speed in networks with heterogeneous learning rules

    Dynamic control of sequential retrieval speed in networks with heterogeneous learning rules by Maxwell Gillett, Nicolas Brunel

    Published 2024-08-01
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  7. 7
    From spiking neuron models to linear-nonlinear models.

    From spiking neuron models to linear-nonlinear models. by Srdjan Ostojic, Nicolas Brunel

    Published 2011-01-01
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  8. 8
    Attractor neural networks with double well synapses.

    Attractor neural networks with double well synapses. by Yu Feng, Nicolas Brunel

    Published 2024-02-01
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  9. 9
    STDP in a bistable synapse model based on CaMKII and associated signaling pathways.

    STDP in a bistable synapse model based on CaMKII and associated signaling pathways. by Michael Graupner, Nicolas Brunel

    Published 2007-11-01
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  10. 10
    Modulation of Synaptic Plasticity by Glutamatergic Gliotransmission: A Modeling Study

    Modulation of Synaptic Plasticity by Glutamatergic Gliotransmission: A Modeling Study by Maurizio De Pittà, Nicolas Brunel

    Published 2016-01-01
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  11. 11
    Memory maintenance in synapses with calcium-based plasticity in the presence of background activity.

    Memory maintenance in synapses with calcium-based plasticity in the presence of background activity. by David Higgins, Michael Graupner, Nicolas Brunel

    Published 2014-10-01
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  12. 12
    Memory capacity of networks with stochastic binary synapses.

    Memory capacity of networks with stochastic binary synapses. by Alexis M Dubreuil, Yali Amit, Nicolas Brunel

    Published 2014-08-01
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  13. 13
    Forgetting Leads to Chaos in Attractor Networks

    Forgetting Leads to Chaos in Attractor Networks by Ulises Pereira-Obilinovic, Johnatan Aljadeff, Nicolas Brunel

    Published 2023-01-01
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  14. 14
    Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli.

    Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli. by Elisa M Tartaglia, Nicolas Brunel, Gianluigi Mongillo

    Published 2015-02-01
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  15. 15
    Response nonlinearities in networks of spiking neurons.

    Response nonlinearities in networks of spiking neurons. by Alessandro Sanzeni, Mark H Histed, Nicolas Brunel

    Published 2020-09-01
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  16. 16
    Storage of correlated patterns in standard and bistable Purkinje cell models.

    Storage of correlated patterns in standard and bistable Purkinje cell models. by Claudia Clopath, Jean-Pierre Nadal, Nicolas Brunel

    Published 2012-01-01
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  17. 17
    A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.

    A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks. by Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina

    Published 2015-08-01
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  18. 18
    Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex

    Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex by Ludovica Bachschmid-Romano, Nicholas G Hatsopoulos, Nicolas Brunel

    Published 2023-05-01
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  19. 19
    Bayesian reconstruction of memories stored in neural networks from their connectivity.

    Bayesian reconstruction of memories stored in neural networks from their connectivity. by Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel

    Published 2023-01-01
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  20. 20
    Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons.

    Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. by Alberto Mazzoni, Stefano Panzeri, Nikos K Logothetis, Nicolas Brunel

    Published 2008-12-01
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