Structural Connectome Dimension Shapes Brain Dynamics in Health and Disease
Contributed poster, StatPhys29, Rome, Italy
This poster has been shown during the poster session of the StatPhys29, held in Florence, Italy.
Contributed poster, StatPhys29, Rome, Italy
This poster has been shown during the poster session of the StatPhys29, held in Florence, Italy.
Invited talk, CNS 2025 workshop - Population activity : the influence of cell-class identity, synaptic dynamics, plasticity and adaptation, Florence, Italy
This talk has been presented during the CCNS 2025 workshop - Population activity : the influence of cell-class identity, synaptic dynamics, plasticity and adaptation, held in Florence, Italy.
Invited talk, Cosyne 2025 workshop - Dynamics of brain computations through the lens of control theory, Montreal, Canada
This talk has been presented during the Cosyne 2025 workshop - Dynamics of brain computations through the lens of control theory, held in Montreal, Canada.
Contributed poster, First conference of the Italian Network for Computational Neuroscience, Rome, Italy
This poster has been shown during the poster session of the First conference of the Italian Network for Computational Neuroscience, held in Rome, Italy.
Contributed talk, StatPhys29 Satellite, Venice, Italy
This talk has been presented during the satellite meeting of StatPhys29 Collective Dynamics and Information Processing in Neural Systems, held in Venice, Italy.
Contributed talk, NetSciX 2024, Venice, Italy
This talk has been presented during the International School and Conference on Network Science 2024, held in Venice, Italy.
Invited talk, MixNext 2023, Vienna, Austria
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.
Contributed talk, NetSci 2023, Vienna, Austria
This talk has been presented during the International School and Conference on Network Science 2023, held in Vienna, Austria.
Invited talk, Spring Workshop on Physics of Data, Venice, Italy
This talk has been presented during the Spring Workshop on Physics of Data 2023, held in Venice, Italy.
Invited talk, LIPh Spring Workshop 2023, Asiago, Italy
This talk has been presented during the LIPh Spring Workshop 2023, held in Asiago, Italy.
Contributed poster, Bernstein Conference, Berlin, Germany
This poster has been shown during the poster session of the Bernstein Conference 2022, held in Berlin, Germany.
Invited talk, Padova-Monash Connect: Brain connectivity workshop, online
This talk has been shown during the session of the Padova-Monash workshop on brain connectivity, held online.
Invited talk, LIPh Spring Workshop 2022, Asiago, Italy
This talk has been presented during the LIPh Spring Workshop 2022, held in Asiago, Italy.