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Published in J. Phys. A: Math. Theor. 54 044002, 2021
Journal article
Recommended citation: Giacomo Barzon et al 2021 J. Phys. A: Math. Theor. 54 044002. https://doi.org/10.1088/1751-8121/abd59e
Published in J. Phys. Complex. 3 025010 (2022), 2022
Journal article
Recommended citation: Giacomo Barzon et al 2022 J. Phys. Complex. 3 025010 https://iopscience.iop.org/article/10.1088/2632-072X/ac7a83
Published in Science Advances 9 (47), 2023
Journal article
Recommended citation: Benedetta Mariani et al., Prenatal experience with language shapes the brain.Sci. Adv.9,eadj3524(2023).DOI:10.1126/sciadv.adj3524 https://www.science.org/doi/full/10.1126/sciadv.adj3524
Published in PNAS 121 (28), 2024
Journal article
Recommended citation: Giacomo Barzon et al., Unraveling the mesoscale organization induced by network-driven processes. PNAS 121(28),e2317608121(2024). DOI:10.1073/pnas.2317608121 https://www.pnas.org/doi/10.1073/pnas.2317608121
Published in PLOS Computational Biology 20 (10), 2024
Journal article
Recommended citation: Giacomo Barzon, et al. "EEG microstate transition cost correlates with task demands." PLOS Computational Biology 20.10 (2024): e1012521. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012521
Published in Physical Review Letters 134, 068403 (2025), 2025
Journal article
Recommended citation: Giacomo Barzon, Daniel M. Busiello, Giorgio Nicoletti. Excitation-Inhibition balance controls information encoding in neural populations. Phys. Rev. Lett. 134, 068403 (2025) https://doi.org/10.1103/PhysRevLett.134.068403
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This talk has been presented during the LIPh Spring Workshop 2022, held in Asiago, Italy.
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This talk has been shown during the session of the Padova-Monash workshop on brain connectivity, held online.
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This poster has been shown during the poster session of the Bernstein Conference 2022, held in Berlin, Germany.
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This talk has been presented during the LIPh Spring Workshop 2023, held in Asiago, Italy.
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This talk has been presented during the Spring Workshop on Physics of Data 2023, held in Venice, Italy.
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This talk has been presented during the International School and Conference on Network Science 2023, held in Vienna, Austria.
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Understanding the complex dynamics of the brain is a fascinating and challenging endeavor. In recent years, the brain criticality hypothesis has emerged as a promising framework to shed light on the relationship between brain structure and function. Computational models tuned at criticality have played a crucial role in bridging this gap. In this talk, our focus is on a cellular automata model proposed to explain criticality in the brain. We analytically characterize the model and reveal that in the mean field limit, it exhibits a bistability. This finding underscores the significance of the underlying empirical connectome as a key ingredient for the emergence of criticality. Furthermore, we explore the practical implications of this model by applying it to stroke patients. Previous results have demonstrated a correlation between the loss of cognitive features and the decline in criticality. Interestingly, we observe that the topological dimension of the connectome serves as a predictive factor for such loss of criticality. This finding suggests that the organization and structure of the brain’s connectivity play a pivotal role in maintaining critical dynamics and cognitive function.
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This talk has been presented during the International School and Conference on Network Science 2024, held in Venice, Italy.
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This poster has been shown during the poster session of the First conference of the Italian Network for Computational Neuroscience, held in Rome, Italy.
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This talk has been presented during the Cosyne 2025 workshop - Dynamics of brain computations through the lens of control theory, held in Venice, Italy.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.