2019
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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)
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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
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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
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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
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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
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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
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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
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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), pp. 1-67
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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
