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Interests, publications
Research interests
I'm interested in how functions emerge in nervous systems. I use machine learning to study the maturation of brain structure, activity, and behaviour.
Behavioural Maturation
Development of locomotion behavior in the fish Danionella cerebrum, an emerging vertebrate model in systems neuroscience
Activity Maturation
Development of place cell activity in the mouse hippocampus, a key region for spatial representation and memory
Statistical Machine Learning
Maximum entropy inference: Direct Coupling Analysis (DCA) and Exponential Random Graph (ERG) models.
Publications
Journal articles
6. V Dichio, F De Vico Fallani (2024). Exploration-exploitation paradigm for networked biological systems, Phys Rev Lett 132(9), 098402 (Editor's selection) | See also press release [link,link]
5. V Dichio, F De Vico Fallani (2023). Statistical models of complex brain networks: a maximum entropy approach, Rep Prog Phys 86 102601.
4. V Dichio, H Zeng, E Aurell (2023). Statistical genetics in and out of quasi-linkage equilibrium, Rep Prog Phys 86 052601.
3. H Zeng, Y Liu, V Dichio, E Aurell (2022). Temporal epistasis inference from more than 3 500 000 SARS-CoV-2 genomic sequences, Phys Rev E 106, 044409.
2. H zeng, E Mauri, V Dichio, S Cocco, R Monasson, E Aurell (2021). Inferring epistasis from genomic data with comparable mutation and outcrossing rate, J Stat Mech 083501.
1. H Zeng, V Dichio, E Rodriguez Horta, K Thorell, E Aurell (2020). Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes, Proc Natl Acad Sci 117 (49) 31519-31526
La_Thèse-intro.pdfAn extract. Read the full text here.
PhD thesis
V Dichio (2023). The exploration-exploitation paradigm: a biophysical approach, arxiv 2312.14850.
Image credits / Bibliothèque Sainte-Geneviève: flikr/teckytony; neuron: twitter/bobcooperartist; data: freepik/alextanyslb; evolution: shutterstock/alionaprof.
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