Diego Fasoli

IIT Publications

• 2019
• Fasoli D.^iit, Panzeri S.^iit
  DOI

  Mathematical studies of the dynamics of finite-size binary neural networks: A review of recent progress

  Mathematical Biosciences and Engineering, vol. 16, (no. 6), pp. 8025-8059
• Fasoli D.^iit, Panzeri S.^iit
  DOI

  Optimized brute-force algorithms for the bifurcation analysis of a binary neural network model

  Physical Review E, vol. 99, (no. 1)
• Fasoli D.^iit, Panzeri S.^iit
  DOI

  Stationary-state statistics of a binary neural network model with quenched disorder

  Entropy, vol. 21, (no. 7)
• 2018
• Fasoli D.^iit, Cattani A.^iit, Panzeri S.^iit
  DOI

  Pattern storage, bifurcations, and groupwise correlation structure of an exactly solvable asymmetric neural network model

  Neural Computation, vol. 30, (no. 5), pp. 1258-1295
• Fasoli D.^iit, Cattani A.^iit, Panzeri S.^iit
  DOI

  Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits

  Journal of Computational Neuroscience, vol. 44, (no. 1), pp. 25-43
• 2017
• Fasoli D.^iit, Cattani A.^iit, Panzeri S.^iit
  DOI

  Bifurcation analysis of a sparse neural network with cubic topology

  Springer INdAM Series, vol. 24, pp. 87-98
• 2016
• Fasoli D.^iit, Cattani A.^iit, Panzeri S.^iit
  DOI

  The Complexity of Dynamics in Small Neural Circuits

  PLoS Computational Biology, vol. 12, (no. 8)
• 2015
• Fasoli D.^iit, Faugeras O., Panzeri S.^iit
  DOI

  A Formalism for evaluating analytically the cross-correlation structure of a firing-rate network model

  Journal of Mathematical Neuroscience, vol. 5, (no. 1), pp. 1-53
• 2012
• Baladron J., Fasoli D., Faugeras O., Touboul J.
  DOI

  Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons

  Journal of Mathematical Neuroscience, vol. 2, (no. 1)
• Baladron Pezoa J., Fasoli D., Faugeras O.
  DOI

  Three applications of GPU computing in neuroscience

  Computing in Science and Engineering, vol. 14, (no. 3), pp. 40-47