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Giorgio Gosti

Affiliated Researcher
Nanotechnologies for Neurosciences
Research center
About

I am interested in how collective behavior and statistical physics can be used to understand the formation and behavior of neural networks in living organisms and in machine learning. My expertise is in the development of machine learning methods with a particular focus on neural networks and computer vision.

All Publications
2022
Grassmann G., Miotto M., Di Rienzo L., Gosti G., Ruocco G., Milanetti E.
A novel computational strategy for defining the minimal protein molecular surface representation
PLoS ONE, vol. 17, (no. 4 April)
2022
Xypakis E., Gosti G., Giordani T., Santagati R., Ruocco G., Leonetti M.
Deep learning for blind structured illumination microscopy
Scientific Reports, vol. 12, (no. 1)
2022
Miotto M., Di Rienzo L., Gosti G., Bo' L., Parisi G., Piacentini R., Boffi A., Ruocco G., Milanetti E.
Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor
Communications Biology, vol. 5, (no. 1)
2022
Monti M., Fiorentino J., Milanetti E., Gosti G., Tartaglia GG.
Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks
Entropy
2021
Milanetti E., Miotto M., Di Rienzo L., Monti M., Gosti G., Ruocco G.
2D Zernike polynomial expansion: Finding the protein-protein binding regions
Computational and Structural Biotechnology Journal, vol. 19, pp. 29-36
Scientific Talks
2019
Gosti G., Rosa A., Caprini D., de Turris V., Rosito M., Ruocco G., Folli V.
Phase Transitions in the Self-Organization of Neural Stem Cells
Physics of Active Matter is a Statphys 2019 satellite meeting
Workshop/Symposium
2018
Gosti G., Ruocco G., Folli V.
Modeling Observational Learning with Recurrent Hopfield Neural Networks
THE 9TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS (ICCM2018)
Conference
2017
Gosti G., Rosa A., Rosito M., Caprini D., de Turris V., Ruocco G., Folli V.
Stem Cells and the Evolution of Organized Tissue: an Emergent Behavior Prospective
8th International Discussion Meeting on Relaxations in Complex Systems
Conference
2016
Gosti G.
Modellare il Conflitto con Opinion Dynamic e Maxent
Dipartimento di Matematica e Informatica dell'Università degli Studi di Perugia
Institute