Alberto Arturo Vergani
Curriculum Vitae
Introduction
Job profile Computational neuroscientist
Main topics Modeling, algorithms and data-analysis for brain’s multi-scale spatio-temporal features
Web links ORCID:0000-0002-6572-0434 | Github | ResearchGate | Google Scholar
Current
position
Research Fellow
at Scuola Superiore Sant’Anna (SSSA), The BioRobotics Institute, Bio-
electronics Area, Computational NeuroEngineering Lab (head by Prof. Alberto Mazzoni),
Pisa-Pontedera, Italy
Co-affiliation
Harvard Medical School, Brain Modulation lab (head by Dr. Mark R Richardson), Boston,
Massachusetts, USA
Short
biography
I was born in Italy - Gallarate (VA), September the 22nd, 1986 - and I have been studying
Neuroscience at University of Vita-Salute San Raffaele (BSc, 2007-2011), Cognitive Science at
University of Milan (MSc, 2011-2014) and Computer Science and Computational Mathematics
at University of Insubria (PhD, 2015-2018).
Alongside the graduated and postgraduated education, I spent time in other national and
international institutes (TUM in Munich, BSC in Barcelona, JKU in Linz, MUX in London,
CNRS in Cagliari, CINECA in Milan, Rome and Bologna, CNR-IBF in Palermo, ICTP in
Trieste) shaping my background towards scientific computing, computational intelligence, brain
simulation, neuromorphic computing, mathematical psychology and, in general, the relations
between theory of computing and theory of cognition.
During the first postdoc experience (2019-2020), I have been working on neuromorphic simula-
tions in London at Middlesex University (Chris Huyck’s lab) with a fellowship by The Human
Brain Project.
During the second postdoc experience (2020-2021), in Marseille at Institute de Neurosciences
de la Timone (Frederick Chavane’s lab), Aix-Marseille University, I have been working on
modelling and simulation of V1 mammal cortex, with classic and HBP EBRAINS neuromorphic
infrastructures, funded by a fellowship from French ANR Horizontal-V1.
Nowadays (2021-2024), I am working at Computational NeuroEngineering Lab (head by Prof.
Alberto Mazzoni), Sant’Anna School of Advanced Studies, Institute of BioRobotics, by using a
mixed data analysis and modelling approach regarding electrophysiological neural signals, with
the aim to
i) identify biomarkers related to the cognitive decline continuum (before the onset of dementia
stage as Alzheimer’s),
iii) identify biomarkers related to genetic forms of epilepsy induced by TMS,
ii) investigate dysfunctional dynamics, within a basal ganglia model, in order to determine
the origin of pathological beta oscillations associated with Parkinson’s disease,
iv) design a autistic brain twin model optimized from EEG feature correlates.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Research statement
My research interests are oriented toward the computational modeling of the central nervous
system. I have dealt with its healthy condition (early stage of visual processing in monkeys), as
well as its pathological condition, with particular reference to humans forms of brain tumors,
dementia, movement disorders, autism and epilepsy. But the common matrix of the investigative
approach I have used is that of computational modeling, adopting methodologies proper to
scientific computing.
For the model based approach I am used to adopt the infrastructures of The Human Brain
Project (neuromorphic simulators such as SpiNNaker and BrainScales and classic simulators
such as Nest and TVB), while for the data driven approach I am used to make data analysis
with dedicated tools (such as from Matlab and Python packages) regarding measurements
performed by different methodologies (MRI, fMRI, EEG, VSDI).
I strongly believe that the direct route for studying the mechanisms underlying the functionality
and dysfunctionality of the central nervous system is the computational route, which is a powerful
tool for generating scientific hypotheses, as well as describing and explaining observational
results from experiments.
Simulations and modeling have epistemological limitations that are peculiar to the mathematical
approach to understanding a natural phenomenon: such as the degree of truthfulness that the
model wants to achieve. In fact, in many cases the amount of realism used in the model is
retrieved from the trade-off between computational cost and the result details to be obtained,
and thus, following Occam’s razor’s method
Entia non sunt multiplicanda praeter necessitatem
,
the computational solution may vary along the opposite extremes of biophysical models and
phenomenological models, depending on the objective of investigation (single neuron, columns,
regions, networks and whole brain) and the time needed to achieve that result.
The power of modeling reaches its peak when measuring instruments reach their technological
limits. So the value of scientific computation is to break the barrier of the present unknowable
because unmeasurable. Moreover, the power of the model is such even when accompanied
by its deep understanding. This motivates the need for a collective approach to the results
obtained from computations. Thus, modeling, and the scenarios it generates, are the optimal
ground for exchange between clinical specialists (such as neurologists, neuropsychiatrists,
neurophysiologists, neuropsychologists) and computational neuroscientists. Nevertheless, the
computational approach allows for high reproducibility, with particular reference to tools that
are easily shared in the neuroscience community. The use of version code that is traceable and
available online is a prerequisite for contemporary research.
So, in essence: my research is currently directed in the context of neuroscience through the use of
scientific computing methodologies. Specifically, here at Sant’Anna School of Advanced Studies,
the frontier objectives that are close to my heart are: i) neurobiological basis of cognitive reserve,
a natural condition of brain resilience against degeneration, which is peculiar to each individual,
but heterogeneous in its efficacy; ii) neurobiological basis of the mechanisms underlying the
onset of Parkinson’s disease, with immediate implications in its symptomatic treatment by deep
brain stimulation (DBS); iii) electrophysiological biomarkers of Alzheimer’s dementia, autism
spectrum disorder and genetic epilepsy.
Research keywords
Brain/Mind
Interests
Theoretical Neuroscience, Neuroimaging, Electrophysiology, Human-Machine Interaction, Cogni-
tive modeling, Psychology, Philosophy, Linguistics
Computational
Interests
Neuromorphic computing, Soft Computing, Applied Many-value Logics, Numerical Mathematics,
AI, Multivariate Analysis, Probability and Statistics, Information Theory, Dynamical Systems
Science Art
interests
Neural Turing Patterns (see the Brain Art section [1])
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Prizes, Grants and Fellowships
2023 Selected for THRUSTER initiative
with the business idea ’helmEEG’, concerning the integration of
soft EEG electrodes in a crash helmet, in collaboration with Prof. Flavia Vitale (UNIPENN).
2023-2024 Postdoctoral fellowship
at SSSA, The BioRobotics Institute, Pisa-Pontedera (IT) by TMSpath project
- Bando Ricerca Finalizzata 2021 - working on electrophysiological correlates of transcranial magnetic
stimulation as surrogate for pathophysiology in genetic epilepsy, supervised by Prof. Alberto Mazzoni.
2022 Co-winner of EELISA grant
for organizing a spring school “Ethos + Tekhnè: a new generation of AI
researchers”, in collaboration with Scuola Normale Superiore in Pisa and École normale supérieure in
Paris. The school will take place in Pisa, 6th-10th of March 2023.
2022 1st ranked at Brain and Art Prize
at Organization of Human Brain Mapping (OHBM) conference in
Glasgow (June 19, 2022 - June 23, 2022), for the section Beautiful Mistakes, with the artwork Neural
Turing Patterns
2022 Best Workshop Poster
at Dynamics and Complexity workshop (DCP22, Pisa, 26-28 May 2022). Title
of the poster: "Mean field model of resting state cortical dynamics in prodromics phases of Alzheimer’s
diseases" (Amato LG, Vergani AA, Mannella R, Mazzoni A)
2021-2023 Postdoctoral fellowship
at SSSA, The BioRobotics Institute, Pisa-Pontedera (IT) by PREVIEW project
- Bando Ricerca in Salute Regione Toscana 2018, working on electrophysiological correlates of prodromal
forms of dementia, such as subjective cognitive decline and mild cognitive impairment, with the aim to
find functional biomarkers able to predict the prodomic path of the patients, supervised by Prof. Alberto
Mazzoni.
2021 2nd ranked at Brain and Art Prize
, NeuroMarseille, with Neural Turing Patterns. The artwork has
been exposed in Marseille at La Pangoline Gallery during the Fall 2021 and it will be exposed during the
Fall 2022 at campuses of Aix-Marseille Université (for more details see the Brain Art section [1]
2020-2021 Postdoctoral fellowship
at INT Marseille (FR) by French ANR Horizontal-V1, working on the project
Visual cortex modelling with classic and neuromorphic machines, supervised by Prof. Laurent Perrinet
and Prof. Frédéric Chavane. The cross-talk between physiological and theoretical approaches was
fostered by the close collaboration with the teams of Frédéric Chavane at INT and Yves Frégnac at UNIC.
The theoretical work is performed in close collaboration with Lyle Muller (Western U) and Jan Antolik
(Prague).
2019-2020 Postdoctoral fellowship
at Middlesex University (UK) by The Human Brain Project (HBP), working
on a topic called NEAL (Neuromorphic Agents that Learn), headed by Prof. Chris Huyck, that is part
of the SP9 Neuromorphic Subproject. The main task was to develop agents for virtual environments
implemented in simulated and emulated spiking neurons.
2018 Best Conference Paper
with the Taylor and Francis prize for the section Imaging and Visualization at
the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
and 3rd Conference on Imaging and Visualization (CMBBE2018, Lisbon, 26-28 March 2018). Title of
the paper: "Resting State fMRI Functional Connectivity Analysis Using Soft Competitive Learning
Algorithms". After the prizewinning, the conference paper has been extended and published as research
article: Vergani AA, Martinelli S, Binaghi E (2020). Resting state fMRI analysis using unsupervised
learning algorithms. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and
Visualization, 8(3), 252-265.
2015 - 2018 Italian PhD Fellowship
for the PhD program in Computer Science and Computational Mathematics
(XXXI Cicle), University of Insubria, Department of Theoretical and Applied Science, Varese, Italy. The
research activities were at CRAIIM, Centre for Research in Image Analysis and Medical Informatics,
headed by Prof.ssa Elisabetta Binaghi, in collaboration with the Medical Physics Unit, the Neurosurgery
Unit and the Functional Neuroradiology Unit, at Hospital of Varese (Circolo e Fondazione Macchi).
Thesis projects: Contributions in computational intelligence with results in functional neuroimaging.
Supervisor: Prof. Elisabetta Binaghi.
2014 - 2018 Travel Grants
by Human Brain Project (HBP) and Partnership for Advanced Computing in Europe
(PRACE) for attending schools, workshops and short classes.
2012 Civil recognition by the Major of Cairate (VA), Italy.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Academic Information
Positions
2023-2024 Postdoctoral researcher - Research Fellow (RF)
College Sant’Anna School of Advanced Studies, Pisa, IT
Division The BioRobotics Institute
Lab Computational Neuroengineering Lab, headed by Prof. Alberto Mazzoni
Supervisor Prof. Alberto Mazzoni
Project TMSpath - Longitudinal study of the use of transcranial magnetic stimulation (TMS) as a
surrogate for pathophysiology in genetic epilepsies
Project PI Prof. Simona Balestrini (MEYER IRCCS, UNIFI)
Fund Fellowship from bando ricerca finalizzata 2021
Italian SC Settore Concorsuale 09/G2
Italian SSD ING-INF/06 -Bioingegneria Elettronica e Informatica
Topics i) Pathophysiology in genetic epilepsies
ii) Simultaneous TMS stimulations and EEG recordings
iii) EEG processing and TEP analysis
iv) Machine learning, signal processing, information theory
Scientific
outcomes
in fieri
2021-2023 Postdoctoral researcher - Research Fellow (RF)
College Sant’Anna School of Advanced Studies, Pisa, IT
Division The BioRobotics Institute
Lab Computational Neuroengineering Lab, headed by Prof. Alberto Mazzoni
Supervisor Prof. Alberto Mazzoni
Project PREVIEW - PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer’s Disease
With machine learning
Project PI Prof. Valentina Bessi (CAREGGI AOU, UNIFI)
Clinical Trial https://clinicaltrials.gov/study/NCT05569083
Fund Fellowship from Bando Ricerca in Salute Regione Toscana 2018
Italian SC Settore Concorsuale 09/G2
Italian SSD ING-INF/06 -Bioingegneria Elettronica e Informatica
Topics i) Neurophysiology of degenerative disorders
ii) Brain cognitive reserve biomarkers
iii) EEG analysis and modelling
iv) Machine learning, signal processing, information theory
Scientific
outcomes
[10, 9, 7, 8, 6, 15, 12, 14, 13, 2, 3, 4, 11, 1]
2020-2021 Postdoctoral researcher - Research Fellow (RF)
College University of Aix-Marseille, Marseille, FR
Division Institut de Neuroscience de la Timone
Lab NeOpTo group, headed by Prof. Frederic Chavane
Supervisor/PI Prof. Laurent Perrinet
Project Visual cortex modelling with classic and neuromorphic machines
Fund Fellowship from French ANR Horizontal V1
Topics i) Primary visual cortex modeling and simulations
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
ii) Sensory-evoked traveling waves and dynamic neuronal association fields
iii) Optical imaging, psychophysics and neural basis of Gestalt principles
iv) Mean-Field Models, Point-Neuron Models and Predictive coding
Scientific
outcomes
[16, 17]
2020-2021 Postdoctoral researcher - Research Fellow (RF)
College Middlesex University, London, UK
Divison Department of Computer Science
Lab Chris Huyck’s lab
Supervisor/PI Prof. Chris Huyck
Project Neuromorphic Embodied Agent That Learn
Fund Fellowship from Horizon 2020 grant No 720270 (The Human Brain Project).
Topics i) Cognitive agents modeling with spiking neural networks
ii) Neuromorphic simulations via HBP infrastructures (SpiNNaker and BrainScaleS)
iii) Cell assemblies theory and models
iv) Attractor networks and dynamical systems
Scientific
outcomes
[20, 19, 18]
2015-2018 Early Stage Researcher - PhD researcher
Degree PhD in Computer Science and Computational Mathematics
College University of Insubria, Varese, IT
Division Department of Theoretical and Applied Science
Lab CRAIIM group, headed by Prof. Elisabetta Binaghi
Supervisor Prof. Elisabetta Binaghi
Project Computational Intelligence Applications in Functional Neuroimaging
Fund Fellowship from Italian Ministry of Education and Research
Topics i) Computational intelligence and soft computing
ii) Unsupervised learning algorithms
iii) Structural and functional MR image processing and analysis
iv) Neuroscientific applications of soft techniques
PhD thesis Contributions in computational intelligence with results in functional neuroimaging (Ref: [27])
Scientific
outcomes
[32, 31, 28, 29, 26, 25, 21, 23, 22, 30, 24]
2014 Master thesis internship
Degree MSc in Cognitive Science, curriculum in Decision Processes
College University of Milan, IT
Lab Raffaella Folgieri’s lab
Supervisor Prof. Raffaella Folgieri
Project Electrophysiological data analysis acquired via Brain-Computer Interface
Topics i) Brain-Computer Interface (BCI)
ii) Spatio-temporal data analysis
iii) Electrophysiology
iv) History of Artificial Intelligence (co-supervisor: Prof. Gianfranco Prini)
MSc thesis Computational science and emergent neuroinformatics technologies (Ref: [33])
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
2010 Bachelor thesis internship
Degree BSc in Psychology, curriculum in Neuroscience
College Vita-Salute San Raffaele University, Milan, IT
Division Nuclear Medicine Unit
Supervisor Prof. Daniela Perani
Project State of the art about the brain and cognitive reserve hypotesis
Topics i) Brain and Cognitive reserve hypothesis
ii) Structural and functional neuroimaging
iii) Brain plasticity processes
vi) Dementia
BSc thesis The reserve of cognitive functions in dementia (Ref: [34])
Collaborations
2022-now Prof. Mark Richardson, Harvard Medical School, Boston, USA
Joint topics: i) Computational study of Parkison’s disease pathophysiology
ii) Embedding humans cortical recordings in a basal ganglia model
iii) Data analysis of humans subcortical recordings (STN and GPe nuclei)
2020-now Prof. Stefania Boffa, University of Milano-Bicocca, IT
Joint topics i) Many-valued logics calculus
ii) Fuzzy and rough set theory
iii) Mathematics of machine learning
Visiting periods
Oct 2022 Harvard Medical School, Boston, Massachusetts, USA
Lab Brain Modulation Lab, MGH
Tutors Prof. Mark Richardson and Prof. Alan Bush
Topics: i) Computational study of Parkison pathophysiology
ii) Embedding humans cortical recordings in a basal ganglia model
May 2019 Kirchhoff-Institut für Physik, Heidelberg, DE
Lab Electronic Vision(s) lab
Tutor Prof. Sebastian Smith
Topics: i) Induction on the BrainScaleS neuromorphic hardware
ii) Implementation of a Finite State Machine on BrainScaleS
Spring 2018 Middlesex University, London, UK
Lab Artificial Intellgence Lab
Tutor Prof. Chris Huyck
Topics: i) Induction on the Neuromorphic Computing Platform of Human Brain Project (HBP)
ii) Modeling of neurocognitive agents by using PyNN, Nest and sPyNNaker
Fall 2017 CNR, Institute of Biophysics, Palermo, IT
Lab Computational neuroscience lab
Tutor Prof. Michele Migliore
Topics: i) Induction on the Brain Simulation Platform of Human Brain Project (HBP)
ii) Modeling cellular level model of the hippocampus with NEURON and python.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Teaching
Adjunct Professor in Numerical methods (FIS/01) (Neuroscience module)
-Spring 2024 (8h). Master degree in Physics, University of Pisa, Italy
Teaching seminars
-Computational Neuroscience
·
November 2023. Two day lesson (5h) inside the bachelor class on Brain modeling (BIO/09),
Artificial Intelligence degree, University of Pavia-Bicocca-UNIMI
·
December 2023. One day lesson (3h) inside the PhD class on Information Theory and Neural Modeling
for Neural Engineering (ING-IND/34) (Prof: Alberto Mazzoni), PhD Program in Biorobotics, Scuola
Superiore Sant’Anna, Pisa, Italy.
·
April 2023. Two days lessons (6h) inside the Master class on Numerical Methods for Physics (FIS/01)
(Prof: Massimo D’Elia), Physics Degree, University of Pisa, Italy.
·
March 2023. Two days lessons (5h) inside the Master class on Biorobotics and Complex Systems
(FIS/03) (Prof: Alberto Mazzoni), Physics Degree, University of Pisa, Italy.
·
December 2022. One day lesson (3h) inside the PhD class on Information Theory and Neural
Modeling for Neural Engineering (Prof: Alberto Mazzoni), PhD Program in Biorobotics, Scuola
Superiore Sant’Anna, Pisa, Italy.
·
January 2022. Two days lessons (5h) inside the Master class on Biorobotics and Complex Systems
(FIS/03) (Prof: Alberto Mazzoni), Physics Degree, University of Pisa, Italy.
·
December 2021. Two days lessons (5h) inside the PhD class on Information Theory and Neural Mod-
eling for Neural Engineering (ING-IND/34) (Prof: Alberto Mazzoni), PhD Program in Biorobotics,
Scuola Superiore Sant’Anna, Pisa, Italy.
·
April 2021. One day lesson (3h) on Large Scale Network Simulations, inside the PhD class on
Computational Neuroscience (Prof. Laurant Perrinet and Prof. Demien Battaglia), NeuroSchool
PhD Program, Aix-Marseille University, Marseille, France.
-Artificial Intelligence
·
December 2021. One day lesson (2h) on clustering algorithms and their validation methods with
case studies from neuroscience, inside the MSc class in Computational Intelligence (INF/01) (Prof.
Elisabetta Binaghi), MSc in Computer Science, University of Insubria, Varese, Italy.
·
April 2020. One day lesson (3h) on modeling expert systems, inside the MSc class in Artificial
Intelligence (Prof. Chris Huyck), MSc in Computer Science, Middlesex University, London, UK.
·Spring 2016-2017-2018. Laboratories for High School, University of Insubria, Varese, Italy
-Neuroeconomics
·
November 2022. Three days lessons (6h) inside the Master class on Behavioural Economics (SECS-
P/01) (Prof: Chiara Rapallini), Master Degree in Economics, University of Florence, Florence,
Italy.
Tutoring
21. Lucia Poma, Master thesis in Bionics, Sant’Anna School of Advances Studies, in fieri
20. Giacomo Privato, Master thesis in Medicine and Surgery, University of Florence, in fieri
19. Lorenzo G Amato, PhD thesis in Biorobotics, Sant’Anna School of Advanced Studies, in fieri
18. Fabio Taddeini, PhD thesis in Biorobotics, Sant’Anna School of Advanced Studies, in fieri
17. Michela Rocchetta, MSc thesis in Physics, Politecnico di Torino, in fieri
16. Marco D’Arrigo, MSc thesis in Physics, University of Pisa, in fieri
15. Leonardo Martinelli, MSc thesis in Physics, University of Pisa, in fieri
14. Marialaura Degrazia, MSc thesis in Physics, University of Pisa, 2022
13. Andrea Ortone, MSc thesis in Physics, University of Pisa, 2022
12. Lorenzo G Amato, MSc thesis in Physics, University of Pisa, 2022
11. Giovanni Salvestrini, MD thesis in Medicine and Surgery, University of Florence, 2022
10. Samuele Martinelli, PhD thesis in Computer Science, University of Insubria, 2021
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
9. Joao Victor, MSc thesis in Neuroscience, University of Marseille, 2021
8. Giorgia Bigai, MD thesis in Medicine and Surgery, University of Insubria, 2018
7. Samuele Martinelli, MSc thesis in Computer Science, University of Insubria, 2018
6. Gloria Gonella, MSc thesis in Computer Science, University of Insubria, 2018
5. Andrea Costantino, MSc thesis in Computer Science, University of Insubria, 2018
4. Andrea Montalbetti, MD thesis in Medicine and Surgery, University of Insubria, 2018
3. Elia Franci, BSc thesis in Computer Science, University of Insubria, 2017
2. Sara Manfredi, BSc thesis in Computer Science, University of Insubria, 2017
1. Andrea Costantino, BSc thesis in Computer Science, University of Insubria, 2016
Commissions
2022/01
Member for the commission about the public competition "Id 3176 FRESCO Clinical Research Grant ’
Speech Therapy in PD; PRIN 2017 PROTECTION; Regione Toscana Bando Salute 2018 PREVIEW"
2021/11
Member for the commission about the public competition "Id 3110 PRIN 2017 PROTECTION, Regione
Toscana Bando Salute 2018 PREVIEW, Regione Toscana Bando Salute 2018 PERSONA, INAIL PR19-
CR-P2 – BioSUP, INAIL PR19-PAI-P2 - MOTU++"
Memberships
2023-now Gruppo Nazionale di Bioingegneria (GNB)
2022-now Società Italiana di Psicofisiologia e Neuroscience Cognitive (SIPF)
2022-now Organization of Computational Neuroscience (OCS)
2020-now Federation of European Neuroscience Societies (FENS)
2020-2021 Société des Neurosciences (SdN)
2019-now IEEE Computer Society (CS)
2017-Now IEEE Computational Intelligence Society (CIS)
2017-Now American Computer Machinery Society (ACM)
2016-Now Organization of Human Brain Mapping (OHBM)
2016-Now European Society for Fuzzy Logic and Technology (EUFLAT)
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Chairing
Oct 2019 Co-Chair with Prof. Joao P. Papa at VipIMAGE Conference, Porto (Portugal)
Oct 2017 Co-Chair with Prof. Bart Romeny at VipIMAGE Conference, Porto (Portugal)
Nov 2016 Chair of Prof. Sean Hill at 3rd HBP School in Obergurgl (Austria)
Jan 2016 Chair of Prof. Eicker at 3rd HBP Workshop in Manchester (UK)
Reviewing
From 2023 Neuropsychologia
Biological Psychiatry
Transactions on Pattern Analysis and Machine Intelligence
Soft Computing
From 2020 IEEE Transactions on Emerging Telecommunications Technologies
From 2018 IEEE Access journal
From 2016 OHBM conference abstracts
From 2015 BSc/MSC/PhD thesis
References
Prof. Alberto Mazzoni, SSSA, Pisa, IT (alberto.mazzoni@santannapisa.it)
Prof. Mark R Richardson, Harvard University, Boston, USA (mark.richardson@mgh.harvard.edu)
Prof. Frederic Chavane, University of Marseille, FR (frederic.chavane@univ-amu.fr)
Prof. Laurent Perrinet, University of Marseille, FR (laurent.perrinet@univ-amu.fr)
Prof. Chris Huyck, Middlesex University, London, UK, (c.huyck@mdx.ac.uk)
Prof. Elisabetta Binaghi, University of Insubria, Varese, Italy, (elisabetta.binaghi@uninsubria.it)
Prof. Marco Donatelli, University of Insubria, Varese, Italy (marco.donatelli@uninsubria.it)
Prof. Michele Migliore, CNR, Institute of Biophysics, Palermo, Italy (michele.migliore@cnr.it)
Prof. Raffaella Folgieri, University of Milan, Milan, Italy (raffaella.folgieri@unimi.it)
Prof. Gianfranco Prini, University of Milan, Milan, Italy (gianfranco.prini@unimi.it)
Prof. Daniela Perani, San Raffaele University, Milan, Italy (perani.daniela@unisr.it)
Education
2018 PhD in Computer Science and Mathematics
College University of Insubria, Varese, IT
Thesis Contributions in computatonal intelligence with results in functional neuroimaging
Supervisor Prof. Elisabetta Binaghi
2014 MSc in Cognitive Science
College University of Milan, Milan, IT
Thesis Computational science and emergent neuroinformatics technologies
Supervisors Prof. Raffaella Folgieri and Prof. Gianfranco Prini
2011 BSc in Psychology
College Vita-Salute San Raffaele University, Milan, IT
Thesis The reserve of cognitive functions in dementia
Supervisor Prof. Daniela Perani
2007 Diploma in Electronics and Telecommunication Engineering
College High school in Busto Arsizio, IT
Project Design and assembly of a thermostatic system (Prof. Bau and Prof. Maini)
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Presentations
Invited talks
8. Study of event-related potentials of visual stimuli in patients with Subjective Cognitive Decline
and Mild Cognitive Impairment
, LXII SNO 23 Conference (Congresso delle scienze neurologiche
ospedaliere), Florence, Italy (27-30 September 2023).
7. Modeling of neurodegenerative disorder: the basal ganglia and Parkinson’s disease
, EBRAINS
Seminar, Pavia, Italy, (16 February 2023)
6. Event-Related Potential dynamics changes in SCD and MCI patients across low and high level
performances in a visual attention task
, XXX SIPF Conference, Udine, Italy, (15-17 September
2022)
5. Comparison of validity indexes for fuzzy clusters of fMRI data
, VII ECCOMAS Thematic Con-
ference On Computational Vision And Medical Image Processing, VipIMAGE, Porto, Portugal
(16-18 October 2019)
4. A Soft Davies-Bouldin Separation Measure
, IEEE International Conference on Fuzzy Systems,
Fuzzieee 2018, Rio De Janeiro, Brazil (08-13 July 2018)
3. Clustering Functional MRI Patterns With Fuzzy and Competitive Algorithms
, 6th International
Symposium CompIMAGE 2018 (Computational Modeling of Objects Presented in Images:
Fundamentals, Methods, and Applications), Cracow, Poland (2-5 July 2018)
2. Resting State fMRI Functional Connectivity Analsysis Using Soft Competitive Learning Algo-
rithms
, CMBBE2018: 15th International Symposium on Computer Methods in Biomechanics and
Biomedical Engineering and the 3rd Conference on Imaging and Visualization, Lisbon, Portugal
(26-29 March 2018)
1. Cluster Analysis of Functional Neuroimages Using Data Reduction and Competitive Learning
Algorithms
, VI ECCOMAS Thematic Conference On Computational Vision And Medical Image
Processing, VipIMAGE, Porto, Portugal (18-20 October 2017)
Posters
17.
ERPs correlate with encoding and decision of visual stimuli in Subject Cognitive Decline and Mild Cognitive
Impairment, XVIII SINDEM Conference (2023) (Società Italiana di Neurologia, sezione demenze), Florence,
Italy, (23-25 November 2023).
16.
Electrophysiology of early stages of visual processing dynamics in Subject Cognitive Decline and Mild
Cognitive Impairment, LIII SIN Conference 2023 (Società Italiana di Neurologia), Naples, Italy, (21-24
October 2023).
15.
ERPs correlate with decoding of visual stimuli in Subject Cogni- tive Decline and Mild Cognitive Impairment,
XXXI SIPF 2023 Conference (Italian Society of Psychophysiology and Cognitive Neuroscience), (9-11
November 2023).
14.
P300 event-related potential in patients with cognitive decline correlates with task, VIII GNB 2023
Conference (Italian National Group of Bioingeneering), Padua, Italy (21-23 June 2023).
13.
Electrophysiological differences in patients affected by SCD and MCI with high level performances in a
visual attention task, XVII SINDEM Conference, Florence, Italy, (13-15, October 2022)
12.
Insights on the dynamic origin of EEG pathological biomarkers of prodromic states of Alzheimer’s Disease
from The Virtual Brain model, XXXI Annual Computational Neuroscience Meeting, Melburne, Australia
(16-20 July 2022)
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
11.
Temporal and spectral EPRs biomarkers in early stages of dementia, FENS FORUM 2022, Paris, France
(09-13 July 2022)
10.
Mean field model of resting state cortical dynamics in prodromic phases of Alzheimer’s disease, Dynamics
and Complexity (DCP22), Pisa, Italy (26-28 May 2022)
9.
Beta resonances interplay in a model of Parkinsonian basal ganglia, Dynamics and Complexity (DCP22),
Pisa, Italy (26-28 May 2022)
8.
Modulation of neuronal anticipatory activity in a topographical model of V1, NeuroFrance 2021) (18-21
May 2021)
7.
Hot Coffee: Associative Memory with Bump Attractor CAs of Spiking Neurons, HBP Summit 2020,
Athens (3-6 February 2020) [Poster, Photo]
6.
Critical Limits in a Bump Attractor Network of Spiking Neurons, 8th Annual Neuro-Inspired Computational
Elements (NICE) (17-20 March 2021)
5.
Counting temporal classes in resting state fMRI data, 4th HBP Student Conference, Pisa, Italy (21-22
January 2020)
4.
Quantitative Relations of CRAIIM Human Brain Atlas, 1st Human Brain Project Student Conference,
Vienna (Austria) (08-10 February 2017)
3.
fMRI Data Analysis With Activation Weighted Vectors (AWV) in Functional Neuroradiology, Winter
School of Human Brain Project, Obergurgl (Austria) (28 November 2016 - 04 December 2016)
2.
FSL-Based Hybrid Atlas Promotes Activation Weighted Vector Analysis in Functional Neuroradiology,
INCF Conference, Reading (UK) (03-04 September 2016)
1.
Computational Intelligence Applications to Functional Neuroimaging, 3rd Human Brain Project Workshop,
Manchester (UK) (11-15 January 2016)
Seminars
14.
Basal ganglia beta bursts model fitting, Brain Modulation Lab, Harvard Medical School, Boston, Mas-
sachusetts, USA (online, JC and lab meeting, June 2023).
13.
Long-range and local circuits for top-down modulation of visual cortex processing by Zhang, Siyu, et
al, NeOpto Team Journal Club, Institut de Neurosciences de la Timone (INT), Aix Marseille University,
Marseille, France
12. The Hidden Spatial Dimension of Alpha: 10-Hz Perceptual Echoes by Lozano-Soldevilla and VanRullen,
NeOpto Team Journal Club, Institut de Neurosciences de la Timone (INT), Aix Marseille University,
Marseille, France
11.
Paradoxical Effects of External Modulation of Inhibitory Interneurons by Tsodyks et al 1997, NeOpto
Team Journal Club, Institut de Neurosciences de la Timone (INT), Aix Marseille University, Marseille,
France
10.
Introduction to the NeOpto Team, NeOpto Team Journal Club, Institut de Neurosciences de la Timone
(INT), Aix Marseille University, Marseille, France
9.
Hot Coffee: Associative Memory with Bump Attractor Cell Assemblies of Spiking Neurons, HBP Tea and
Slides, session VIII, Online meeting (14 January 2021) [Video]
8. Comparison of Validity Indexes for Fuzzy Clusters of fMRI Data, Middlesex University, London, UK
7.
Discussion on Functional Connectivity in fMRI and its relation with Cell Assembly Hypothesis, Middlesex
University, London, UK
6.
Implementation of Embodied Agents in Nest, SpiNNaker and BrainScaleS, Human Brain Project SP9
Quarterly in-person Meeting, University of Hertfordshire, Hatfield, UK (22-23 May 2019)
5. Spectral Analysis of RS-fMRI Images, Villa del Grumello, Como, Italy
4. Gender Differences in RS-fMRI Images, University of Genoa, Genoa, Italy
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
3.
Computational intelligence methodologies applied to fMRI big data, 3rd HBP Education Workshop,
Manchester, UK (11-15 January 2016) [Video]
2.
FMRI data analysis with activation weighted vectors technique, 3rd Human Brain Project School, Obergurgl,
Austria [Video]
1.
The Human Brain Project (topics from the HBP workshop in Manchester (UK)), University of Insubria,
Varese, Italy
Continuous learning
Workshops
June 2023 Dynamics and complexity (DCP23), Pisa, Italy
May 2023 Stochastic Thermodynamics - WOST IV, online, ICTP, Trieste
April 2023 NICE (10th Annual Neuro-Inspired Computational Elements, online and in person)
March 2023 Ethos+Tekhne: a new generation of AI researchers, Scuola Normale Superiore, Pisa
Jan 2023 The virtual EBRAINS unconference about Healthy Brain Ageing and Lifestyle
Nov 2022 Simulate with EBRAINS research infrastructure and Fenix resources
October 2022 FAIMI: Fairness of AI in Medical Imaging
October 2022 Successfull pitch of a business, SSSA, Pisa, Italy
October 2022 9th TVB-EBRAINS Integrated Workflows
June 2022 Brain Activity across Scales and Species (BASSES)
May 2022 Dynamics and complexity (DCP22), Pisa, Italy
March 2022 NICE (9th Annual Neuro-Inspired Computational Elements)
Feb 2022 Workshop on BCI and NEUROTECH master class Italia
Dec 2021 Workshop on TVB EBRAINS Integrated Workflows
Sept 2021 Workshop on model testing and model fitting, EITN
July 2021 Glial cells course, XV European Meeting on Glial Cells
May 2021 HBP Young Researchers Event: EBRAINS for next-generation brain medicine
May 2021 Workshop on Energy and entropy concepts to understand brain activity, EITN
March 2021 8th Annual Neuro-Inspired Computational Elements (NICE)
March 2021 Multisite recordings and distributed representations in the macaque brain, EITN
Dec 2020 Brainhack Marseille, France
Jan 2020 Modeling Brain Signals, EITN, Paris, France
Sept 2019 9th HBP Workshop on Neuromorphic computing, Manchester, UK
March 2017 Intellectual property of Research Results, University of Insubria, Como, Italy
March 2017 Mathematical Methods for Image Analysis, RISM, Varese, Italy
June 2016 Brain, Minds and Machines, MIT/IIT, Sestri Levante, Italy
Jan 2016 3rd Human Brain Project Workshop, Manchester, UK
Schools
September 2023 XLII Annual School 2023 – The Bioengineering of Sport, online
Summer 2022 The Virtual Brain in Clinical Research, online
July 2021 School on Physiology and Biophysics, University of Pavia
Sept 2021 Medical Neuroimaging, Aix-Marseille University, FR
July 2021 Neurophysiology and Biophysics, Univerisity of Pavia, IT
May 2018 Numerical Methods for Inverse Problems, University of Insubria, Como, Italy
July 2017 Applied Harmonic Analysis, University of Genova, Italy
July 2017 Advanced Numerical Techniques, University of Cagliari, Italy
Dec 2016 3rd Human Brain Project School, Obergurgl, Austria
Sept 2016 Integrability, Recursion, Geometry and Mechanics, RISM, Varese, Italy
Sept 2016 HPC School, PRACE, Jhoannes Kepler University, Linz, Austria
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Spring 2015 Physics of Complex Systems, ICTP, Trieste, Italy
Oct 2014 Scientific Visualization, PRACE, CINECA, Bologna, Austria
Sept 2014 Parallel Computing, PRACE, CINECA, Milan, Italy
Courses
Jan 2024 Nonlinear Dynamics, Santa Fe Institute, online
Dec 2021 CINECA course on HPC and Quantum Computing, online
Nov 2021 Science and technology for cultural heritage, A Nature Italy event
July 2021 Introduction of Glial cells, European Meeting on Glial Cells, online
Jan 2021 Tensor Network for Machine Learning (Rebusseau, UdeM), INT, Marseille, FR
Jan 2021 Principles of neuronal activity and excitability, INT, Marseille, FR
Dec 2020 Functional MR Imaging, INT, Marseille, FR
Nov 2020 Structural MR Imaging, INT, Marseille, FR
Fall 2019 Single exam on History of Science (9 CFU), University of Milan, IT
Fall 2019 Single exam on Moral Philosophy (9 CFU), University of Milan, IT
Fall 2019 Single exam on Advanced topics in Logics (9 CFU), University of Milan, IT
Fall 2019 Single exam on Theoretical Philosophy (9 CFU), University of Milan, IT
Spring 2018 Single exam on Antropology (6 CFU), University of Insubria, Varese, IT
Spring 2018 Single exam on Pedagogy (6 CFU), University of Insubria, Varese, IT
Sept 2017 Introduction to Neuroinformatics, INCF, Reading, UK
August 2017 8th G-Node Neural Data Analysis, INCF, Munich, Germany
Oct 2015 Tools for Massive Data Analysis, PRACE, CINECA, Milan, Italy
June 2015 Online course on Complexity, Santa Fe Institute, New Mexico, USA
June 2015 Paradigms for Hybrid Architectures, PRACE, CINECA, Bologna, Italy
March 2015 Python, PRACE, CINECA, Milan, Italy
March 2015 C++, PRACE, CINECA, Milan, Italy
Feb 2015 HPC Simulation, PRACE, BSC, Barcelona, Spain
Jan 2015 Fortran, PRACE, CINECA, Rome, Italy
Dec 2014 Online course on Dynamical Systems, Santa Fe Institute, New Mexico, USA
Nov 2014 CUDA and GPGPU, PRACE, CINECA, Milan, Italy
PhD Classes
Spring 2018 Numerical mathematics (Prof. Marco Donatelli), University of Insubria, Varese, Italy
Spring 2017 Systems, Modeling and Simulations (Ing. Habib Sedehi), University of Insubria, Varese, Italy
Spring 2016 Deep Learning (Prof. Paolo Frasconi), University of Insubria, Varese, Italy
Fall 2015 Data Mining (Prof. Claudio Gentile), University of Insubria, Varese, Ital7
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Extra Information
General programming skills
Primary Python, Matlab, R
Secondary HTML/CSS/Javascript, SQL, Java, C/C++
Other academical activities
2016-2018 Computer Science PhD Student ambassador, University of Insubria, Varese-Como, IT
2018 Conference staff at SIAM Conference on Applied Mathematics, Bologna, IT
Non-academical activities
2023 Certification of CONI FIPE Personal Trainer
2022-to now
Blogger at QuiNewsValdera with a blog NEURONEWS, which regards dissemination to a broader audience
about neuroscience news.
Lo sport giovanile trasforma il cervello
La molecola che sollevò il mondo
Ogni movimento conta
Ippocampi alla Escher
Il miglior grafico neuroscientifico del 2022
Una "mandorla" speciale per le feste
2018
Published the novel titled La locanda di Elzevira, within the collection "Racconti horror", Historica
Edizioni, ISBN-13: 9788833370613
2017
Published the novel titled La leggenda di Bolladello, within the collection "Lombardia segreta", Historica
Edizioni, ISBN: 889487074X
2012
Published the novel titled 16 Settembre, within the collection "I cento corti 2012", Cavedio Edizioni.
Prizewinning for the section "Noir".
2011
Published the novel titled Evasione circense, within the collection "I cento corti 2011", Cavedio Edizioni.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Neuroscience Art
Neural Turing Patterns.
There are structures in nature that spontaneously emerge. They were studied for
the first time by the English mathematician Alan Turing (1912 – 1954), who also introduced the concept of
the contemporary computational machine. Examples of those shapes are stripes, spots, grids, tessellations,
bubbles, spirals, foams and waves. In the specific case of this artwork, a collection of Turing patterns are
generated via brain simulations. Each square is a network of neural cells that fire with low (blue), medium
(white) and high (red) intensities. Many of them look very similar, while others are very different. Grouped
as they are, pictures seem to have a graphical continuity with their closest. But, this visual feature is indeed
a Gestalt illusion, because they are completely independent simulation results.
This artwork was awarded at the Aix-Marseille Université’s "Brain and Art prize 2021" competition and
exhibited at the Marseille gallery "Le Pangolin". Moreover, within the "Beautiful mistakes" section, the
artwork won the first prize during the OHBM conference 2022 (Organization of Human Brain Mapping) in
Glasgow, UK (Booklet available at https://www.amazon.it/dp/B0C9SJJQ3D).
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
Scientific Outcomes
Tot: 31 + 3 thesis
Journal papers: 7
Conference papers: 13
Conference abstracts: 9
Preprints: 2
Thesis: 3 (BSc, MSc, PhD)
References
[1]
Lorenzo Gaetano Amato,
Vergani, Alberto Arturo
, Michael Lassi, Carlo Fabbiani, Salvatore
Mazzeo, Rachele Burali, Benedetta Nacmias, Sandro Sorbi, Riccardo Mannella, Antonello Grippo,
et al. “Personalized modeling of Alzheimer’s Disease progression estimates neurodegeneration
severity from EEG recordings”. In: Alzheimer’s & Dementia XX (2024). accepted/in printing, p. XX.
[2]
Michael Lassi, Carlo Fabbiani, Salvatore Mazzeo, Rachele Burali,
Vergani, Alberto Arturo
,
Giulia Giacomucci, Valentina Moschini, Carmen Morinelli, Filippo Emiliani, Maenia Scarpino, et
al. “Degradation of EEG microstates patterns in subjective cognitive decline and mild cognitive
impairment: Early biomarkers along the Alzheimer’s Disease continuum?” In: NeuroImage: Clinical
38 (2023), p. 103407. doi:https://doi.org/10.1016/j.nicl.2023.103407.
[3]
Salvatore Mazzeo, Michael Lassi, Sonia Padiglioni, Valentina Moschini,
Vergani, Alberto Arturo
,
Maenia Scarpino, Giulia Giacomucci, Rachele Buralli, Carmen Morinelli, Carlo Fabbiani, et al. “A
machine learning model to predict progression from subjective cognitive decline to mild cognitive
impairment and dementia: a 12-year follow-up study”. In: Alzheimer’s & Dementia 19 (2023),
e082276. doi:https://doi.org/10.1002/alz.082276.
[4]
Salvatore Mazzeo, Michael Lassi, Sonia Padiglioni,
Vergani, Alberto Arturo
, Valentina Moschini,
Maenia Scarpino, Giulia Giacomucci, Rachele Burali, Carmen Morinelli, Carlo Fabbiani, Giulia
Galdo, Lorenzo Gaetano Amato, Silvia Bagnoli, Filippo Emiliani, Assunta Ingannato, Benedetta
Nacmias, Sandro Sorbi, Antonello Grippo, Alberto Mazzoni, and Valentina Bessi. “PRedicting
the EVolution of SubjectIvE Cognitive Decline to Alzheimer’s Disease With machine learning:
the PREVIEW study protocol”. In: BMC Neurology 23.1 (Aug. 2023). issn: 1471-2377. doi:
10.1186/s12883-023-03347-8.url:http://dx.doi.org/10.1186/s12883-023-03347-8.
[5]
Andrea Ortone,
Vergani, Alberto Arturo
, Mahboubeh Ahmadipour, Riccardo Mannella, and
Alberto Mazzoni. “Dopamine depletion leads to pathological synchronization of distinct basal
ganglia loops in the beta band”. In: PLOS Computational Biology 19.4 (2023), e1010645. doi:
10.1371/journal.pcbi.1010645.
[6] Vergani, AA
, G Salvestrini, C Fabbiani, S Mazzeo, R Burali, M Lassi, LG Amato, G Giacomucci,
V Moschini, C Morinelli, et al. “Electrophysiology of early stages of visual processing dynamics in
Subject Cognitive Decline and Mild Cognitive Impairment”. In: LIII SIN Conference 2023 (Società
Italiana di Neurologia), Naples, Italy. 2023.
[7] Vergani, AA
, G Salvestrini, C Fabbiani, S Mazzeo, R Burali, M Lassi, LG Amato, G Giacomucci,
V Moschini, C Morinelli, et al. “ERPs correlate with decoding of visual stimuli in Subject Cogni-
tive Decline and Mild Cognitive Impairment”. In: XXXI SIPF 23 Conference (Italian Society of
Psychophysiology and Cognitive Neuroscience). 2023.
[8] Vergani, AA
, G Salvestrini, C Fabbiani, S Mazzeo, R Burali, M Lassi, LG Amato, G Giacomucci,
V Moschini, C Morinelli, et al. “ERPs correlate with encoding and decision of visual stimuli in
Subject Cognitive Decline and Mild Cognitive Impairment”. In: XVIII SINdem Conference (2023)
(Società Italiana di Neurologia, sezione demenze). 2023.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
[9] Vergani, AA
, G Salvestrini, C Fabbiani, S Mazzeo, R Burali, M Lassi, LG Amato, G Giacomucci,
V Moschini, C Morinelli, et al. “P300 event-related potential in patients with cognitive decline
correlates with task”. In: VIII GNB 2023 Conference (Italian National Group of Bioingeneering),
Padua, Italy. Vol. 8. Pàtron. 2023, pp. 866–870. isbn: 9788855580113.
[10] Vergani, AA
, G Salvestrini, C Fabbiani, S Mazzeo, R Burali, M Lassi, LG Amato, G Giacomucci,
V Moschini, C Morinelli, et al. “Study of event-related potentials of visual stimuli in patients
with Subjective Cognitive Decline and Mild Cognitive Impairment”. In: LXII SNO 23 Conference
(Congresso delle scienze neurologiche ospedaliere), Florence, Italy. 2023.
[11]
Lorenzo Gaetano Amato,
Vergani, Alberto Arturo
, Riccardo Mannella, and Alberto Mazzoni.
“EEG pathological biomarkers in a whole brain network model of pAD”. In: 31th Annual Compu-
tational Meeting: CNS*2022-Meeting, Melbourne, Australia. 2022. doi:
10.1007/s10827-022-
00841-9.
[12] Vergani, Alberto Arturo
. “Solving clustering as ill-posed problem: experiments with K-Means
algorithm”. In: arXiv preprint arXiv:2211.08302 (2022).
[13] Vergani, Alberto Arturo
, Salvatore Mazzeo, Rachele Burali, Valentina Moschini, Sonia Padiglioni,
Carlo Fabbiani, Giovanni Salvestrini, Michael Lassi, Benedetta Nacmias, Sandro Sorbi, et al.
“Electrophysiological differences in patients affected by SCD and MCI with high level performances
in a visual attention task”. In: SINdem Conference 2022, Società Italiana di Neurologia, sezione
Demenze, Firenze, Italy. 2022.
[14] Vergani, Alberto Arturo
, Giovanni Salvestrini, Rachele Burali, Valentina Moschini, Sonia Padiglioni,
Salvatore Mazzeo, Carlo Fabbiani, Michael Lassi, Benedetta Nacmias, Sandro Sorbi, et al. “Event-
Related Potential dynamics changes in SCD and MCI patients across low and high level performances
in a visual attention task”. In: XXX SIPF Conference 2022, Società Italiana di Psicofisologia e
Neuroscienze Cognitive, Udine, Italy. 2022.
[15] Vergani, Alberto
, Micheal Lassi, and Alberto Mazzoni. “Temporal and Spectral ERPs Biomarkers
in Early Stages of Dementia”. In: FENS Forum 2022 (Federation of European Neuroscience Societies),
Paris, France. 2022.
[16] Vergani, AA
and LU Perrinet. “Modulation of neuronal anticipatory activity in a topographical
model of V1”. In: NeuroFrance Conference 2021. 2021.
[17] Vergani, AA
and LU Perrinet. “Simulating anticipatory activity in a 1D Spiking Neuronal Network
Model”. In: Bernstein Conference 2021. 2021. doi:10.12751/nncn.bc2021.p094.
[18]
Christian Robert Huyck and
Vergani, Alberto Arturo
. “Associative memory with bump attractor
CAs of spiking neurons”. In: HBP Summit 2020. 2020.
[19]
Christian Robert Huyck and
Vergani, Alberto Arturo
. “Hot coffee: associative memory with
bump attractor cell assemblies of spiking neurons”. In: Journal of Computational Neuroscience 48
(2020), pp. 299–316. doi:10.1007/s10827-020-00758-1.
[20] Vergani, Alberto Arturo
and Christian Robert Huyck. “Critical Limits in a Bump Attractor
Network of Spiking Neurons”. In: arXiv preprint arXiv:2003.13365, 2020 (2020).
[21] Vergani, Alberto Arturo
, Samuele Martinelli, and Elisabetta Binaghi. “Resting state fMRI analysis
using unsupervised learning algorithms”. In: Computer Methods in Biomechanics and Biomedical
Engineering: Imaging & Visualization 8.3 (2020), pp. 252–265. doi:
10.1080/21681163.2019.
1636413.
[22]
Gloria Gonella, Elisabetta Binaghi,
Vergani, Alberto Arturo
, Irene Biotti, and Luca Levrini. “A
Cloud Fuzzy Logic Framework for Oral Disease Risk Assessment”. In: Lecture Notes in Computer
Science. Vol. 11291. Springer, Cham, 2019, pp. 85–96. doi:10.1007/978-3-030-12544-8_7.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
[23]
Samuele Martinelli,
Vergani, Alberto Arturo
, and Elisabetta Binaghi. “Comparison of Validity In-
dexes for Fuzzy Clusters of fMRI Data”. In: Lecture Notes in Computational Vision and Biomechanics.
Vol. 34. Springer, Cham, 2019, pp. 169–178. doi:10.1007/978-3-030-32040-9_18.
[24]
Elisabetta Binaghi,
Vergani, Alberto A
, Andrea Montalbetti, Renzo Minotto, Valentina Pedoia,
Sabina Strocchi, and Sergio Balbi. “Computation and management of weighted activation vectors in
support to fMRI analysis of clinical subjects”. In: Computer Methods in Biomechanics and Biomedical
Engineering: Imaging & Visualization 7.5-6 (2018), pp. 563–582. doi:
10.1080/21681163.2018.
1501767.
[25] Vergani, Alberto A
and Elisabetta Binaghi. “A Soft Davies-Bouldin Separation Measure”. In:
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. 2018, pp. 1–8. doi:
10.1109/FUZZ-IEEE.2018.8491581.
[26] Vergani, Alberto A
, Elisabetta Binaghi, Samuele Martinelli, and Sabina Strocchi. “Resting State
fMRI Functional Connectivity Analysis Using Soft Competitive Learning Algorithms”. In: 15th
International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and
3rd Conference on Imaging and Visualization. Springer. 2018, pp. 1–12.
[27] Vergani, Alberto Arturo
. “Contributions in Computational Intelligence with Results in Functional
Neuroimaging”. PhD thesis. University of Insubria, Varese, Italy, 2018. doi:
10.13140/RG.2.2.
19623.11689.
[28] Vergani, Alberto Arturo
, Samuele Martinelli, and Elisabetta Binaghi. “Clustering functional
MRI Patterns with Fuzzy and Competitive Algorithms”. In: Lecture Notes in Computer Science.
Vol. 10986. Springer, Cham, 2018, pp. 129–144. doi:10.1007/978-3-030-20805-9_12.
[29] Vergani, Alberto Arturo
, Renzo Minotto, Sabina Strocchi, and Elisabetta Binaghi. “Quantitative
Relations between CRAIIM Human Brain Atlases”. In: 1st Human Brain Project Student Conference.
Frontiers. 2018, pp. 60–68.
[30]
Elisabetta Binaghi,
Vergani, Alberto A
, and Valentina Pedoia. “Accuracy evaluation of soft
classifiers using interval type-2 fuzzy sets framework”. In: 2017 IEEE International Conference on
Fuzzy Systems (FUZZ-IEEE). IEEE. 2017, pp. 1–6. doi:10.1109/FUZZ-IEEE.2017.8015427.
[31] Vergani, Alberto A
, Samuele Martinelli, and Elisabetta Binaghi. “Cluster analysis of functional
neuroimages using data reduction and competitive learning algorithms”. In: Lecture Notes in
Computational Vision and Biomechanics. Vol. 27. Springer, Cham, 2017, pp. 62–71. doi:
10.1007/
978-3-319-68195-5_7.
[32] Vergani, Alberto Arturo
, Renzo Minotto, Sabina Strocchi, and Elisabetta Binaghi. “FSL-Based
Hybrid Atlas Promotes Activation Weighted Vector Analysis in Functional Neuroradiology”. In:
INCF Neuroinformatics Conference 2016, Reading, United Kingdom, 3 Sep - 4 Sep, 2016. Vol. 77.
Frontiers Media (SA), 2016. doi:doi:10.3389/conf.fninf.2016.20.00077.
[33] Vergani, Alberto Arturo
. “Scienze computazionali e tecnologie neuroinformatiche emergenti
(Computational science and emergent neuroinformatics technologies)”. Master’s thesis. Via Festa
del perdono 7, Milano: University of Milan, Dec. 2014. doi:10.13140/RG.2.2.12912.23042.
[34] Vergani, Alberto Arturo
. “La riserva delle funzioni cognitive nella demenza (The reserve of
cognitive functions in dementia)”. Bachelor’s thesis. Via Olgettina 60, Milano: Vita-Salute San
Raffaele University, Mar. 2011. doi:10.13140/RG.2.2.28011.72483.
Qalbertoarturo.vergani@santannapisa.it, aavergani@mgh.harvard.edu
skype: vergani.aa
