Diego Fasoli, Ph.D.
Dear visitor, welcome to my website! I am a researcher in computational neuroscience with a strong passion for the brain and neural networks. My goal is to use recurrent network models to unravel how the electrical activity and the function of the brain emerge from the concerted interactions of its areas. I develop numerical and theoretical tools to efficiently investigate these models and to make empirically testable predictions about the neurophysiological mechanisms linking inter-areal interactions to collective brain dynamics. Then I test the model predictions by applying state-of-the-art data analysis techniques to experimental data collected in laboratory-controlled conditions. Using this multidisciplinary approach, I can get new insights into the foundational principles of the brain and propose intuitive interpretations to complex neuronal phenomena.
Website Sections
My Work in Neuroscience
In the following sections I illustrate in an intuitive way some of my results in the field of computational neuroscience.
Applications of My Work to Econophysics
I am strongly interested in the application of the mathematical techniques developed in computational neuroscience to other research fields, one of them being econophysics. Econophysics is an emerging discipline which addresses problems in economics by means of methods originally developed in physics. Since, similarly to computational neuroscience, econophysics typically focuses on problems encompassing nonlinear dynamics, stochastic processes and networks, it naturally follows that some of the techniques and theories developed in one research field can be adapted to the other.
In the following sections I introduce some of my results on stochastic neural networks, with special emphasis on topics such as critical slowing down, Herd behavior and mean-field theory. Then I discuss some potential applications of those results to the field of econophysics, by highlighting the similarities between neural circuits and particular kinds of complex economic systems, such as financial markets.
