Publications of T Fardet

Journal Article (3)

1.
Journal Article
Fardet, T.; Levina, A.: Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. Physical Review Research 3, 043124, pp. 1 - 16 (2021)
2.
Journal Article
Fardet, T.; Levina, A.: Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. PLoS Computational Biology 16 (12), pp. 1 - 22 (2020)
3.
Journal Article
Fardet, T.; Hütten, M.; Lohmann, S.; Medavar, E.; Milucka, J.; Roesch, J.; Rolfes, J.; Schweizer, J.: Making science organizations sustainable: The mission of the Max Planck sustainability network. Frontiers in Sustainability 1, 567211 (2020)

Poster (6)

4.
Poster
Levina, A.; Fardet, T.: Weighted clustering motifs and small-worldness in connectomes. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
5.
Poster
Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
6.
Poster
Fardet, T.; Levina, A.: Better weighted clustering coefficient: now continuous. Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020) , Madrid, Spain (2020)
7.
Poster
Fardet, T.; Levina, A.: Investigating the influence of metabolic disruption on complex activity patterns with extended neuronal models. Bernstein Conference 2020 (2020)
8.
Poster
Fardet, T.; Quaresima, A.; Bottani, S.: DeNSE: modeling neuronal morphology and network structure in silico. 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)
9.
Poster
Fardet, T.; Levina, A.: Phenomenological models for single-neuron energetics. Bernstein Conference 2019, Berlin, Germany (2019)

Preprint (1)

10.
Preprint
Montala-Flaquer, M.; Lopez-Leon, C.; Tornero, D.; Houben, A.; Fardet, T.; Monceau , P.; Bottani, S.; Soriano, J.: Rich dynamics and functional organization on topographically designed neuronal networks in vitro. (submitted)
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