Now showing items 1-3 of 3

    • 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 ...
    • 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 ...
    • Unsupervised Learning of Persistent and Sequential Activity. 

      Pereira, Ulises; Brunel, Nicolas (Frontiers in computational neuroscience, 2019-01)
      Two strikingly distinct types of activity have been observed in various brain structures during delay periods of delayed response tasks: Persistent activity (PA), in which a sub-population of neurons maintains an elevated ...