Now showing items 1-6 of 6

    • Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. 

      Pereira, Ulises; Brunel, Nicolas (Neuron, 2018-07)
      The attractor neural network scenario is a popular scenario for memory storage in the association cortex, but there is still a large gap between models based on this scenario and experimental data. We study a recurrent network ...
    • Cerebellar learning using perturbations. 

      Bouvier, Guy; Aljadeff, Johnatan; Clopath, Claudia; Bimbard, Célian; Ranft, Jonas; Blot, Antonin; Nadal, Jean-Pierre; ... (10 authors) (eLife, 2018-11-12)
      The cerebellum aids the learning of fast, coordinated movements. According to current consensus, erroneously active parallel fibre synapses are depressed by complex spikes signalling movement errors. However, this theory ...
    • Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning. 

      Gillett, Maxwell; Pereira, Ulises; Brunel, Nicolas (Proceedings of the National Academy of Sciences of the United States of America, 2020-11-11)
      Sequential activity has been observed in multiple neuronal circuits across species, neural structures, and behaviors. It has been hypothesized that sequences could arise from learning processes. However, it is still unclear ...
    • Is cortical connectivity optimized for storing information? 

      Brunel, Nicolas (Nature neuroscience, 2016-05)
      Cortical networks are thought to be shaped by experience-dependent synaptic plasticity. Theoretical studies have shown that synaptic plasticity allows a network to store a memory of patterns of activity such that they become ...
    • Storing structured sparse memories in a multi-modular cortical network model. 

      Dubreuil, Alexis M; Brunel, Nicolas (Journal of computational neuroscience, 2016-04)
      We study the memory performance of a class of modular attractor neural networks, where modules are potentially fully-connected networks connected to each other via diluted long-range connections. On this anatomical architecture ...
    • Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. 

      Mazzoni, Alberto; Whittingstall, Kevin; Brunel, Nicolas; Logothetis, Nikos K; Panzeri, Stefano (NeuroImage, 2010-09)
      Despite the widespread use of EEGs to measure the large-scale dynamics of the human brain, little is known on how the dynamics of EEGs relates to that of the underlying spike rates of cortical neurons. However, progress ...