For an updated list of publications, see also my Google Scholar page
Publications
F. Mastrogiuseppe, J. Carmona and C. Machens, “Stochastic activity in low-rank recurrent neural networks”, biorXiv (2025)
[ bioRxiv ] [ github ]
F. Schuessler, F. Mastrogiuseppe, S. Ostojic and O. Barak, “Aligned and oblique dynamics in recurrent neural networks”, eLife (2024)
[ journal ] [ arxiv ] [ github ]
F. Mastrogiuseppe, N. Hiratani and P. Latham, “Evolution of neural activity in circuits bridging sensory and abstract knowledge”, eLife (2023)
[ journal ] [ bioRxiv ] [ github ]
A. Dubreuil, A. Valente, M. Beiran, F. Mastrogiuseppe and S. Ostojic, “The role of population structure in computations through neural dynamics”, Nature Neuroscience (2022)
[ journal ]
[ bioRxiv ] [ github ]
L. Susman*, F. Mastrogiuseppe*, N. Brenner and O. Barak, “Quality of internal representation shapes learning performance in feedback neural networks”, Physical Review Research (2021)
* = equal contribution, random order
[ journal ] [ arxiv ]
M. Beiran, A. Dubreuil, A. Valente, F. Mastrogiuseppe and S. Ostojic, “Shaping dynamics with multiple populations in low-rank recurrent networks”, Neural Computation (2021)
[ journal ] [ arxiv ] [ github ]
F. Schuessler, F. Mastrogiuseppe, A. Dubreuil, S. Ostojic and O. Barak, “The interplay between randomness and structure during learning in RNNs”, NeurIPS (2020)
[ journal ] [ arxiv ] [ github ]
F. Schuessler, A. Dubreuil, F. Mastrogiuseppe, S. Ostojic and O. Barak, “Dynamics of random recurrent networks with correlated low-rank structure”, Physical Review Research (2020)
[ journal ] [ arxiv ]
F. Mastrogiuseppe and S. Ostojic, “A geometrical description of global dynamics in trained networks”, Neural Computation (2019)
[ journal ] [ arxiv ] [ github ]
F. Mastrogiuseppe and S. Ostojic, “Linking connectivity, dynamics and computations in low-rank recurrent neural networks”, Neuron (2018)
[ journal ] [ arxiv ] [ github ]
F. Mastrogiuseppe and S. Ostojic, “Intrinsically generated fluctuations in excitatory-inhibitory networks”, PLOS Computational Biology (2017)
[ journal ] [ arxiv ]
PhD thesis
“From dynamics to computations in recurrent neural networks”, École Normale Supérieure Paris
Supervisors: Srdjan Ostojic, Vincent Hakim
Committee: Tatjana Tchumatchenko, Guillaume Hennequin, Jean Pierre Nadal, Peter Latham, Khashayar Pakdaman
[ link ]
Master thesis
“Robust inference of causal models: applications to spontaneous activity of zebrafish brain”, Politecnico di Torino - Institut Curie Paris
Supervisor: Isambert Hervé
Committee: Riccardo Zecchina
[ link ]