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Personal Data

Name: Diego FASOLI
Address: Laboratory of Neural Computation, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Corso Bettini 31, 38068 Rovereto, Italy
Nationality: Italian

Research Experience and Education

July 2017-Present: postdoc at the Laboratory of Neural Computation of the Italian Institute of Technology (IIT) in Rovereto, Italy, led by Dr. Stefano Panzeri. My work, funded by the Slow Dyn project, consists in developing a data-constrained realistic model of the generation of slow neural oscillations, which will be used for understanding the relationship between slow oscillations and neurodegenerative diseases.

July 2016-July 2017:
visiting postdoc researcher at the Computational and Theoretical Neuroscience Group of the Pompeu Fabra University (UPF) in Barcelona, Spain, led by Dr. Gustavo Deco. My work, funded by the ATTEND project, focused on the development of a whole-brain model of the mouse for the study of neural disorders.

October 2013-July 2016:
postdoc at the Laboratory of Neural Computation in Rovereto (Italy), funded by the ATTEND project. My purpose was to develop a mathematical model for the dynamics of the neural network of a cortical column, and then to analyze the model in order to understand how the biophysical parameters of the system determine the level of attention and the coding of visual information.

January 2010-September 2013: Ph.D. in Computational Neuroscience and Informatics at the University of Nice-Sophia Antipolis (UNS) in France, under the supervision of Dr. Olivier Faugeras. My Ph.D. was funded by the French Institute for Research in Computer Science and Automation (INRIA), with a Marie Curie FACETS-ITN fellowship. I got my Ph.D. on September 25th 2013, with mention "Très Honorable" (the highest distinction in the French academic system), discussing a thesis entitled "Attacking the brain with neuroscience: Mean-field theory, finite size effects and encoding capability of stochastic neural networks" (thesis written in English and partially in French).

January 2005-January 2007: master course in theoretical physics at the Catholic University of the Sacred Heart (UCSC) in Brescia (Italy). I graduated magna cum laude discussing a thesis entitled "Elements of tachyon condensation in background independent string field theory" (thesis written in Italian).

September 2001-December 2004: undergraduate program in physics at the Catholic University of the Sacred Heart (UCSC) in Brescia (Italy). I graduated magna cum laude discussing a thesis entitled "Quantum teleportation" (thesis written in Italian).


Language: I have a good knowledge of written and spoken English. I have also a fair knowledge of spoken French.

Informatics: good knowledge of website programming by html language, programming of multiplayer online videogames and animation of three-dimensional polygonal models. I also have a good knowledge of Python and Matlab.

Awards and Fellowships

January 2007: I was granted a special mention by the board of trustees of UCSC at the completion of my  master course (article written in Italian).

January 2010-September 2013: Marie Curie FACETS-ITN fellowship (FP7-PEOPLE-ITN-2008 under the  Grant #237955).

Collaboration in International Projects

July 2017-Present:

Slow Dyn (FLAG-ERA/Human Brain Project)

July 2016-July 2017:

Human Brain Project (FP7-FET Flagship Programme), WP4.3: Large-scale models of human cognitive function

October 2013-August 2017:

ATTEND (Autonomous Province of Trento, Call "Grandi Progetti 2012")

VISUALISE (FET Grant FP7-600954)

January 2011-September 2013:

BrainScaleS (FP7-FET-Proactive, under the Grant #269921)

Supervised Students

D. Corti
Oscillatory behavior in asymmetric Hopfield networks
Politecnico di Milano, Master Thesis, 2014 (PDF, BibTex)

Organization of Scientific Meetings

I co-organized the first FACETS-ITN student conference in Heidelberg (Germany) and the second FACETS-ITN student conference in Barcelona (Spain).


D. Fasoli
Transitions between asynchronous and synchronous states: A theory of correlations in small neural circuits
NeuroMath, Mathematical and Computational Neuroscience: Cell, Network and Data Analysis, September 12-16 2016 Cortona, Italy (Abstract).

D. Fasoli
Finite size effects in a network of rate neurons
3rd Workshop of the GDR 2904 'Multi-electrode systems and signal processing to study neuronal networks', October 25-26 2012 Marseille, France (Abstract)

D. Fasoli
Mean-field analysis of populations of realistic spiking neurons
2nd BrainScaleS Plenary Meeting, March 22-23 2012 Jülich, Germany


Various courses within the FACETS-ITN Ph.D. program on neuromorphic hardware, experiments with large scale hardware systems, presenting for scientists, theoretical approaches to new computing concepts, scientific grant writing, theoretical neuroscience, ethics, intellectual property and experimental neurobiology.

Fall 2011: Various courses held at CIRM in Marseille (France) on bifurcations in stochastic systems, dynamics and self-organization, mathematical image analysis and neurogeometry of the brain, equivariant dynamical systems, stochastic models and simulations in neuroscience, and the geometry of functional architectures underlying neural fields.

Peer-Reviewed Publications

D. Fasoli, A. Cattani, S. Panzeri
Transitions between asynchronous and synchronous states: A theory of correlations in small neural circuits
Journal of Computational Neuroscience:1-19, 2017 (URL, BibTex)

D. Fasoli, A. Cattani, S. Panzeri
Bifurcation analysis of a sparse neural network with cubic topology
Springer INdAM Series. In press.

D. Fasoli, A. Cattani, S. Panzeri
The complexity of dynamics in small neural circuits
PLoS Computational Biology, 12(8):1-35, 2016 (URL, BibTex)

D. Fasoli, O. Faugeras, S. Panzeri
A Formalism for Evaluating Analytically the Cross-Correlation Structure of a Firing-Rate Network Model
The Journal of Mathematical Neuroscience, 5:6, 2015 (URL, Supp. Material, BibTex)

J. Baladron, D. Fasoli, O. Faugeras
Three Applications of GPU Computing in Neuroscience
Computing in Science and Engineering, 14(3):40-47, 2012 (URL, BibTex)

J. Baladron, D. Fasoli, O. Faugeras, J. Touboul
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons

The Journal of Mathematical Neuroscience, 2(1):10, 2012
(URL, BibTex)

Publications Submitted or in Preparation

D. Fasoli, S. Panzeri
Optimized brute-force algorithms for the bifurcation analysis of a spin-glass-like neural network model
In preparation. Preprint version
arXiv:1705.05647 [q-bio.NC], 2017 (URL, BibTex)

D. Fasoli, A. Cattani, S. Panzeri
Pattern storage, bifurcations and higher-order correlation structure of an exactly solvable asymmetric neural network model
Submitted. Preprint version
arXiv:1702.03183 [q-bio.NC], 2017 (URL, BibTex)


A. Cattani, D. Fasoli, S. Panzeri
How bifurcations affect functional connectivity in finite-size neural networks
BMC Neuroscience, 16(Suppl 1):P193, 2015 (URL)

D. Fasoli, A. Cattani, S. Panzeri
Analytical calculations of functional connectivity and of information processing capabilities of neural networks of arbitrary size
1st International Conference on Mathematical NeuroScience (ICMNS), June 8-10 2015 Antibes - Juan les Pins, France (Abstract, Poster)

D. Fasoli, O. Faugeras
Perturbative analysis of finite stochastic networks
The Versatile Brain: Structures, Functions and Pathologies (INT Inaugural Conference), September 20-21 2012 Marseille, France (Poster)

D. Fasoli, O. Faugeras, J. Touboul
Chaos propagation in a mean-field theory of spiking neural networks
1st BrainScaleS Plenary Meeting, March 24th 2011 Barcelona, Spain (Poster)

Google Scholar (URL)