Alberto Arturo Vergani, PhD

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 | Scopus

Current

position

Research Fellow

at University of Pavia, Department of Brain and Behavioural Sciences, Egidio D’Angelo’s

Lab, Pavia, Italy (albertoarturo.vergani@unipv.it)

Co-aﬃliations {

Computational NeuroEngineerig lab (head by Prof. Alberto Mazzoni), The BioRobotics Institute,

Sant’Anna School of Advanced Studies, Pisa, Italy (albertoarturo.vergani@santannapisa.it)

{

Brain Modulation lab (head by Dr. Mark R Richardson), Mass General Hospital, Harvard Medical

School, Boston, Massachusetts, USA (aavergani@mgh.harvard.edu)

Research keywords

Pathologies Alzheimer, Parkinson, Epilepsy, Ataxia, Autism, Schizophrenia

Brain and Mind

Theoretical Neuroscience, Neuroimaging, Electrophysiology, Human-Machine Interaction, Cognitive model-

ing, Psychology, Philosophy, Linguistics, History of Science, History of Computational Neuroscience

Scientiﬁc

Modeling

Neuromorphic computing, Soft Computing, Applied Many-value Logics, Numerical Mathematics, AI,

Multivariate Analysis, Probability and Statistics, Information Theory, Dynamical Systems

Science and Art Berger Mandalas and Neural Turing Patterns (see the Neuroscience Art section [1])

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 simulations 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, including those preceding dementia

such as Alzheimer’s, and genetic forms of epilepsy induced by TMS, and ii) Investigate dysfunctional

dynamics within a basal ganglia model to determine the origin of pathological beta oscillations associated

with Parkinson’s disease, and design an autistic brain twin model optimized from EEG feature correlates.

Starting in October 2024, I will be working at the University of Pavia, Department of Brain and Behavioral

Science, speciﬁcally within the Egidio D’Angelo Lab, subunit Neurocomputation, headed by Claudia

Casellato. Funded by the VIRTUAL BRAIN TWIN project, my goal is to design and validate a modeling

platform for personalized psychiatric treatment, particularly for schizophrenia.

Short Research Statement

My research focuses on the computational modeling of the central nervous system, exploring both

healthy conditions, such as the early stages of visual processing in monkeys, and pathological conditions,

including various human brain disorders like tumors, dementia, movement disorders, autism, epilepsy,

schizophrenia. My approach consistently employs computational modeling methodologies and scientiﬁc

computing techniques.

For model-based approaches, I utilize infrastructures from The Human Brain Project, including neuromorphic

simulators such as SpiNNaker and BrainScaleS, as well as classic simulators like Nest and TVB. For

data-driven approaches, I use tools from Matlab and Python packages for analyzing measurements obtained

through MRI, fMRI, EEG, and VSDI.

I am convinced that computational methods are crucial for understanding the central nervous system’s

functionality and dysfunctionality. These methods generate scientiﬁc hypotheses and help explain ex-

perimental observations. However, simulations and modeling have inherent epistemological limitations

related to mathematical understanding of natural phenomena. The level of realism in a model often

involves a trade-oﬀ between computational cost and detail, aligning with Occam’s razor—

Entia non

sunt multiplicanda praeter necessitatem

. Thus, models can range from biophysical to phenomenological

extremes based on research objectives and computational requirements.

The strength of modeling becomes particularly apparent when measurement technologies are limited. Com-

putational models can explore unmeasurable aspects currently and oﬀer insight even when understanding

is incomplete. This emphasizes the importance of collaborative approaches between clinical specialists

(neurologists, neuropsychiatrists, neurophysiologists, neuropsychologists) and computational neuroscientists.

The computational approach supports high reproducibility and transparency, with version-controlled tools

available within the neuroscience community.

Prizes, Grants and Fellowships

2024-2025 Postdoctoral Fellowship

at the University of Pavia, Department of Brain and Behavioral Sciences,

Egidio D’Angelo’s Lab, Neurocomputing subunit (headed by Prof. Claudia Casellato), working on the

project

Construction and Simulation of Cerebellar Neural Networks for Brain Digital Twins Applied to

Schizophrenia, funded by Virtual Brain Twin, under the supervision of Prof. Egidio D’Angelo.

2024 Winning proposal

at SIPF 2024 (Italian Society of Psychophysiology and Cognitive Neurosciences) for

organizing a symposium on Sport Neuroscience titled

Decoding Sports Performance: Investigating the

neural correlates of anticipation functions prior to action

, featuring speakers: Prof. Valentina Bianco

(UNIPV), Prof. Francesco Di Russo (Uniroma4), and Prof. Germanio Gallicchio (Bangor University).

2023 Winning proposal for THRUSTER initiative

with the business idea

helmEEG

, concerning the integra-

tion 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 the TMSpath

project Bando Ricerca Finalizzata 2021 - working on electrophysiological correlates of transcranial magnetic

stimulation as a 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 École normale supérieure (Stefano Vrizzi) in Paris and with Scuola Normale

Superiore in Pisa (Laura State, Filippo Galli). The school was held in Pisa, 6-10 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

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.

Academic Information

Positions

2024-2025 Postdoctoral researcher - Research Fellow (RF)

College University of Pavia, Pavia, IT

Division Department of Brain and Behavioral Sciences

Lab Egidio D’Angelo’s Lab

Sub-Unit Neurocomputation

Supervisors Prof. Egidio D’Angelo, Prof. Claudia Casellato

Project Construction and simulation of cerebellar neural networks for brain digital twins applied to schizophrenia

Project PI Prof. Egidio D’Angelo

Fund Virtual Brain Twin (No 101137289)

Italian SSD BIO/09 - Physiology

Outcomes [A A+24a; A A+25; Ver25]

Topics {Designing bio-inspired digital brain replica

{Investigating the cerebellum’s role in psychiatric diseases

{Understanding the etiopathogenesis of schizophrenia

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

Outcomes in ﬁeri

Topics {Pathophysiology in genetic epilepsies

{Simultaneous TMS stimulations and EEG recordings

{EEG processing and TEP analysis

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

Outcomes

[Ver+22b; Ver+22a; Ver22; VLM22; Ama+22; Maz+23a; Las+23; Ver+23a; Ver+23c; Ver+23b;

Ver+23d; Maz+23b; A A+24d; A A+24e; Ama+24a; A A+24b; A A+24c; Ver24a; Ama+24b; Ver24b;

Tad+24; Fab+25; Tad+25]

Topics {Neurophysiology of degenerative disorders

{Brain cognitive reserve biomarkers

{EEG analysis and modeling

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

Outcomes [VP21a; VP21b]

Topics {Primary visual cortex modeling and simulations

{Sensory-evoked traveling waves and dynamic neuronal association ﬁelds

{Optical imaging, psychophysics, and neural basis of Gestalt principles

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).

Outcomes [VH20b; HV20b; HV20a; VH20a]

Topics {Cognitive agents modeling with spiking neural networks

{Neuromorphic simulations via HBP infrastructures (SpiNNaker and BrainScaleS)

{Cell assemblies theory and models, attractor networks

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

Outcomes [Ver+16; VMB17; VMB18; Ver+17; Ver+18; VB18; VMB20; MVB19; Gon+19; BVP17; Bin+18]

PhD thesis Contributions in computational intelligence with results in functional neuroimaging (Ref: [Ver18])

Topics {Computational intelligence and soft computing

{Unsupervised learning algorithms

{Structural and functional MR image processing and analysis

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

MSc thesis Computational science and emergent neuroinformatics technologies (Ref: [Ver14])

Topics {Brain-Computer Interface (BCI)

{Spatio-temporal data analysis and Electrophysiology

{History of Artiﬁcial Intelligence (co-supervisor: Prof. Gianfranco Prini)

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

BSc thesis The reserve of cognitive functions in dementia (Ref: [Ver11])

Topics {Brain and Cognitive reserve hypothesis

{Structural and functional neuroimaging

{Brain plasticity processes in dementia

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.

Teaching

{Adjunct Professor in Numerical methods (FIS/01) (Neuroscience module)

2. Spring 2024 (8h). Master degree in Physics, University of Pisa, Italy

1. Spring 2023 (6h). Master degree in Physics, University of Pisa, Italy

{Teaching seminars

-Computational Neuroscience

11.

November 2025. Two day lesson (5h) inside the bachelor class on

Brain modeling

(BIO/09) (Prof.

Claudia Casellato), BSc in Artiﬁcial Intelligence, University of Pavia-Bicocca-UNIMI

10.

February 2025, Two day lesson (12h),

Introduction to Algorithms for Modeling Virtual Brain Twins

MSc in Psychology, University of Pavia, IUSS, Italy

November 2024. Two day lesson (5h) inside the bachelor class on

Brain modeling

(BIO/09) (Prof.

Claudia Casellato), BSc in Artiﬁcial Intelligence, University of Pavia-Bicocca-UNIMI

March 2024. One day lessons (3h) inside the Master class on

Biorobotics and Complex Systems

(FIS/03) (Prof: Alberto Mazzoni), Physics Degree, University of Pisa, Italy.

November 2023. Two day lesson (5h) inside the bachelor class on

Brain modeling

(BIO/09) (Prof.

Claudia Casellato), BSc in Artiﬁcial Intelligence, 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.

March 2023. Two days lessons (5h) inside the Master class on

Biorobotics and Complex Systems

(FIS/03) (Prof: Alberto Mazzoni), MSc in Physics, 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), MSc in Physics, 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.

1. Spring 2016-2017-2018. Laboratories for High School, University of Insubria, Varese, Italy

-Neuroeconomics

April 2025. 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.

April 2024. 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.

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

23. Stefania Rosciano, BSc theis in IA, UNIPV, in ﬁeri

22. Leonardo Martinelli, MSc thesis in Physics, UNIPI

21. Matilde Bisi, BSc thesis, Biomedical Engineering, UNIPI

20. Greta Carnevali, lab training internship at CNE Lab and master thesis, MSc in Bionics, SSSA

19. Lucia Poma, Master thesis in Bionics, SSSA

18. Giacomo Privato, Master thesis in Medicine and Surgery, UNIPI,

17. Michela Rocchetta, MSc thesis in Physics, Politecnico di Torino

16. Marco D’Arrigo, MSc thesis in Physics, UNIPI

15. Michelangelo Fabbrizi, MSc internship in Bionics, SSSA, 2022

14. Marialaura Degrazia, MSc thesis in Physics, UNIPI, 2022

13. Andrea Ortone, MSc thesis in Physics, UNIPI, 2022

12. Lorenzo G Amato, MSc thesis in Physics, UNIPI, 2022

11. Giovanni Salvestrini, MD thesis in Medicine and Surgery, UNIFI, 2022

10. Samuele Martinelli, PhD thesis in Computer Science, University of Insubria, 2021

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

2024/04

Member of th MSc in Physics commission for candidate Federico Martinelli, with the role of counter

supervisor of the thesis: ’Analysis of calcium signals and neural network dynamics’ (Supervisors: Angelo

Di Garbo, Federico Cremisi, Riccardo Mannella). Graduation session of 27 March 2024, University of Pisa,

Department of Physics, Pisa

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 Stanford Encyclopedia of Philosophy Society (SEP)

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)

Chairing

(2024) Chair at SIPF conference at the symposium on Sport Neuroscience titled

Decoding Sports

Performance: Investigating the Neural Correlates of Anticipatory Functions Prior to Action

, Cesena,

Italy

(2023) Co-Chair with Stefano Vrizzi at Spring School

Ethos + Tekhnè

: A New Generation of AI

Researchers, SNS, Pisa, Italy

4. (2019) Co-Chair with Prof. Joao P. Papa at VipIMAGE Conference, Porto (Portugal)

3. (2017): Co-Chair with Prof. Bart Romeny at VipIMAGE Conference, Porto (Portugal)

2. (2016) Chair of Prof. Sean Hill at 3rd HBP School in Obergurgl (Austria)

1. (2016) Chair of Prof. Eicker at 3rd HBP Workshop in Manchester (UK)

Event Organization

Organized a symposium on Sport Neuroscience titled

Decoding Sports Performance: Investigating

the Neural Correlates of Anticipatory Functions Prior to Action

. The event will feature presentations

by Prof. Valentina Bianco (UNIPV), Prof. Francesco Di Russo (Uniroma4), and Prof. Germanio

Gallicchio (Bangor University) and is scheduled to take place in Cesena on September 5, 2024.

Organized the Spring School

Ethos + Tekhnè: A New Generation of AI Researchers

, in collaboration

with Scuola Normale Superiore in Pisa and École normale supérieure in Paris. This event will be held

in Pisa from March 6 to 10, 2023.

Journals Engagement

{Editorial Board Plos ONE

{Reviewing

Plos ONE, Neuropsychologia, Biological Psychiatry, Transactions on Pattern Analysis and

Machine Intelligence, Behavioral Neurology, Journal of Neuroscience Methods, Soft Computing, IEEE

Transactions on Emerging Telecommunications Technologies, IEEE Access journal, OHBM conference

abstracts, BSc/MSC/PhD thesis

References

Prof. Egidio D’Angelo, University of Pavia, Pavia, IT (egidio.dangelo@unipv.it)

Prof. Claudia Casellato, University of Pavia, Pavia, IT (claudia.casellato@unipv.it)

Prof. Alberto Mazzoni, SSSA, Pisa, IT (alberto.mazzoni@santannapisa.it)

Prof. Simona Balestrini, UNIFI, Florence, IT (simona.balestrini@meyer.it)

Prof. Valentina Bessi, UNIFI, Florence, IT (valentina.bessi@uniﬁ.it)

Prof. Antonello Grippo, UNIFI, Florence, IT (antonello.grippo@uniﬁ.it)

Prof. Mark R Richardson, Harvard University, Boston, USA (mark.richardson@mgh.harvard.edu)

Prof. Alan Bush, Harvard University, Boston, USA (alan.bush@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)

Presentations

Talks

14. Structural alterations of cerebellar microcircuits in schizophrenia: from physiology to models

, lighting

talk at School of Brain Cells and Circuits "Camillo Golgi", Erice, Italy 2024 (9-14 December 2024)

13. Sex neurophysiological signatures in subjective cognitive decline and mild cognitive impairment associated

with low and high demanding memory tasks

, SINdem Conference 2024, Società Italiana di Neurologia,

sezione Demenze, Padova, Italy 2024 (29 September 2024)

12. Sex-Speciﬁc Event-Related Potentials in Visual Encoding Along the Cognitive Decline Continuum

, XXXII

SIPF Conference 2024, Società Italiana di Psicoﬁsologia e Neuroscienze Cognitive, Cesena, Italy (04

September 2024)

11. 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).

10. 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).

9. Modeling of neurodegenerative disorder: the basal ganglia and Parkinson’s disease

, EBRAINS Seminar,

Pavia, Italy, (16 February 2023)

8. Event-Related Potential dynamics changes in SCD and MCI patients across low and high level perfor-

mances in a visual attention task, XXX SIPF Conference, Udine, Italy, (15-17 September 2022)

7. Comparison of validity indexes for fuzzy clusters of fMRI data

, VII ECCOMAS Thematic Conference On

Computational Vision And Medical Image Processing, VipIMAGE, Porto, Portugal (16-18 October 2019)

6. Spectral Analysis of resting-state fMRI Brain Networks

, Spring School on Numerical Computing for Image

Analysis, Como, Italy (21-25/05/2018)

5. A Soft Davies-Bouldin Separation Measure

, IEEE International Conference on Fuzzy Systems, Fuzzieee

2018, Rio De Janeiro, Brazil (08-13 July 2018)

4. 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)

3. Resting State fMRI Functional Connectivity Analsysis Using Soft Competitive Learning Algorithms

, 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)

2. RS-fMRI analysis in healthy subjects conﬁrms gender based diﬀerences

, Summer School on Harmonics

Analysis, Genova, Italy (2017)

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

21. Dysfunction in a Schizophrenic Cerebellar Mouse Model Due to Multiscale Structural Alterations

, Work-

shop on Computational Neuroscience in MNESYS, Pavia, Italy (3 Februay 2025)

20. Structural alterations of cerebellar microcircuits in schizophrenia: from physiology to models

, IX School

of Brain Cells Circuits "Camillo Golgi", Erice, Italy, (9–14 December 2024)

19. Gender diﬀerences in event-related potentials of subjective cognitive decline and mild cognitive impairment

during a sustained visuo-attentive task, FENS FORUM 2024, Paris, France (25-29 June 2024)

18. ERPs correlate with encoding and decision of visual stimuli in Subject Cognitive Decline and Mild Cog-

nitive Impairment

, XVIII SINDEM Conference (2023) (Società Italiana di Neurologia, sezione demenze),

Florence, Italy, (23-25 November 2023).

17. 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).

16. ERPs correlate with decoding of visual stimuli in Subject Cogni- tive Decline and Mild Cognitive Impair-

ment

, XXXI SIPF 2023 Conference (Italian Society of Psychophysiology and Cognitive Neuroscience),

(9-11 November 2023).

15. 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).

14. 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)

13. 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)

12. Temporal and spectral EPRs biomarkers in early stages of dementia

, FENS FORUM 2022, Paris, France

(09-13 July 2022)

11. 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)

10. Beta resonances interplay in a model of Parkinsonian basal ganglia

, Dynamics and Complexity (DCP22),

Pisa, Italy (26-28 May 2022)

9. Modulation of neuronal anticipatory activity in a topographical model of V1

, NeuroFrance 2021) (18-21

May 2021)

8. Hot Coﬀee: Associative Memory with Bump Attractor CAs of Spiking Neurons

, HBP Summit 2020,

Athens (3-6 February 2020) [Poster, Photo]

7. Critical Limits in a Bump Attractor Network of Spiking Neurons

, 8th Annual Neuro-Inspired Computational

Elements (NICE) (17-20 March 2021)

6. Counting temporal classes in resting state fMRI data

, 4th HBP Student Conference, Pisa, Italy (21-22

January 2020)

5. RS-fMRI analysis in healthy subjects conﬁrms gender based diﬀerences

, Advanced Numerical Techniques

for Inverse Problems, Cagliari, Italy (17-21/07/2017)

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

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, Ober-

gurgl, Austria [Video], (28 November 2016 - 04 December 2016)

1. The Human Brain Project (topics from the HBP workshop in Manchester (UK)), (11-15 January 2016),

University of Insubria, Varese, Italy

Continuous learning

Workshops

30. Feb 2025: Computational Neuroscience in MNESYS, Pavia, IT

29. June 2024: Dynamics and Complexity (DCP24), Pisa, IT

28. May 2024: Fifth International Convention on the Mathematics of Neuroscience and AI, Roma, IT

27. June 2023: Dynamics and Complexity (DCP23), Pisa, IT

26. May 2023: Stochastic Thermodynamics - WOST IV, online, ICTP, Trieste, IT

25. April 2023: NICE (10th Annual Neuro-Inspired Computational Elements)

24. March 2023: Ethos+Tekhne: A New Generation of AI Researchers, SNS, Pisa, IT

23. January 2023: The Virtual EBRAINS Unconference about Healthy Brain Ageing and Lifestyle

22. November 2022: Simulate with EBRAINS Research Infrastructure and Fenix Resources

21. October 2022: FAIMI: Fairness of AI in Medical Imaging

20. October 2022: Successful Pitch of a Business, SSSA, Pisa, IT

19. October 2022: 9th TVB-EBRAINS Integrated Workﬂows

18. June 2022: Brain Activity Across Scales and Species (BASSES)

17. May 2022: Dynamics and Complexity (DCP22), Pisa, Italy

16. March 2022: NICE (9th Annual Neuro-Inspired Computational Elements)

15. February 2022: Workshop on BCI and NEUROTECH Master Class Italia

14. December 2021: Workshop on TVB EBRAINS Integrated Workﬂows

13. September 2021: Workshop on Model Testing and Model Fitting, EITN, Paris, FR

12. July 2021: Glial Cells Course, XV European Meeting on Glial Cells, FR

11. May 2021: HBP Young Researchers Event: EBRAINS for Next-Generation Brain Medicine

10. May 2021: Workshop on Energy and Entropy Concepts to Understand Brain Activity, EITN, Paris, FR

9. March 2021: 8th Annual Neuro-Inspired Computational Elements (NICE)

8. March 2021: Multisite Recordings and Distributed Representations in the Macaque Brain, EITN, Paris

7. December 2020: Brainhack Marseille, FR

6. January 2020: Modeling Brain Signals, EITN, Paris, FR

5. September 2019: 9th HBP Workshop on Neuromorphic Computing, Manchester, UK

4. March 2017: Intellectual Property of Research Results, University of Insubria, Como, IT

3. March 2017: Mathematical Methods for Image Analysis, RISM, Varese, IT

2. June 2016: Brain, Minds and Machines, MIT/IIT, Sestri Levante, IT

1. January 2016: 3rd Human Brain Project Workshop, Manchester, UK

Schools

15. December 2024: Theory and applications of digital twins, Erice, Italy

14. September 2023: XLII Annual School 2023 – The Bioengineering of Sport

13. Summer 2022: The Virtual Brain in Clinical Research

12. July 2021: School on Physiology and Biophysics, University of Pavia

11. September 2021: Medical Neuroimaging, Aix-Marseille University, FR

10. July 2021: Neurophysiology and Biophysics, University of Pavia, IT

9. May 2018: Numerical Methods for Inverse Problems, University of Insubria, Como, Italy

8. July 2017: Applied Harmonic Analysis, University of Genova, Italy

7. July 2017: Advanced Numerical Techniques, University of Cagliari, Italy

6. December 2016: 3rd Human Brain Project School, Obergurgl, Austria

5. September 2016: Integrability, Recursion, Geometry and Mechanics, RISM, Varese, Italy

4. September 2016: HPC School, PRACE, Johannes Kepler University, Linz, Austria

3. Spring 2015: Physics of Complex Systems, ICTP, Trieste, Italy

2. October 2014: Scientiﬁc Visualization, PRACE, CINECA, Bologna, Italy

1. September 2014: Parallel Computing, PRACE, CINECA, Milan, Italy

Courses

27. Nov 2024: Introduction to supercomputing at JSC, Juelich, GE

26. May 2024: Programming Paradigms for GPU Devices, CINECA, IT

25. January 2024: Nonlinear Dynamics, Santa Fe Institute, USA

24. December 2021: CINECA Course on HPC and Quantum Computing, IT

23. November 2021: Science and Technology for Cultural Heritage, A Nature Italy Event, IT

22. July 2021: Introduction of Glial Cells, European Meeting on Glial Cells, FR

21. January 2021: Tensor Network for Machine Learning (Rebusseau, UdeM), INT, Marseille, FR

20. January 2021: Principles of Neuronal Activity and Excitability, INT, Marseille, FR

19. December 2020: Functional MR Imaging, INT, Marseille, FR

18. November 2020: Structural MR Imaging, INT, Marseille, FR

17. Fall 2019: Single Exam on History of Science (9 CFU), University of Milan, IT

16. Fall 2019: Single Exam on Moral Philosophy (9 CFU), University of Milan, IT

15. Fall 2019: Single Exam on Advanced Topics in Logics (9 CFU), University of Milan, IT

14. Fall 2019: Single Exam on Theoretical Philosophy (9 CFU), University of Milan, IT

13. Spring 2018: Single Exam on Anthropology (6 CFU), University of Insubria, Varese, IT

12. Spring 2018: Single Exam on Pedagogy (6 CFU), University of Insubria, Varese, IT

11. September 2017: Introduction to Neuroinformatics, INCF, Reading, UK

10. August 2017: 8th G-Node Neural Data Analysis, INCF, Munich, GE

9. October 2015: Tools for Massive Data Analysis, PRACE, CINECA, Milan, IT

8. June 2015: Online Course on Complexity, Santa Fe Institute, New Mexico, USA

7. June 2015: Paradigms for Hybrid Architectures, PRACE, CINECA, Bologna, IT

6. March 2015: Python, PRACE, CINECA, Milan, IT

5. March 2015: C++, PRACE, CINECA, Milan, IT

4. February 2015: HPC Simulation, PRACE, BSC, Barcelona, SP

3. January 2015: Fortran, PRACE, CINECA, Rome, IT

2. December 2014: Online Course on Dynamical Systems, Santa Fe Institute, New Mexico, USA

1. November 2014: CUDA and GPGPU, PRACE, CINECA, Milan, IT

Extra Information

General programming skills

Primary Python, Matlab, R

Secondary HTML/CSS/Javascript, SQL, Java, C/C++

Third mission: knowledge dissemination

2022-2024 Blogger at QuiNewsValdera with a blog NEURONEWS

2021-2024 Scientiﬁc activities during public events, Institute of BioRobotics, SSSA, Pontedera, Italy

2016-2018 Laboratories for high school students, University of Insubria, Varese, Italy

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

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.

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).

Berger mandalas

The "Berger Mandalas" represent an artistic homage to the groundbreaking research of German psychiatrist

Hans Berger (1873-1941). A century ago, in 1924, at the University of Jena, Berger achieved a signiﬁcant

milestone by recording the ﬁrst electrical brain signal in humans using a string galvanometer. His reﬁnement

of techniques led to the development of the "Elektrenkephalogramm," laying the foundation for modern

electroencephalography (EEG). Traditionally, EEG signals are graphed in a Cartesian coordinate system to

capture their temporal dynamics. However, when depicted in a polar coordinate system, the periodic voltage

amplitudes yield intricate patterns reminiscent of mandalas. These patterns, characterized by their regularity

and order, mirror the underlying temporal structure of the brain’s electrical activity. The artwork presented

here commemorates the centenary of Berger’s pioneering achievement by visually representing exactly 100

EEG recordings.

Documentation detailing EEG preprocessing and the transformation from Cartesian to polar coordinates, along

with the code for generating the artwork, is available at https://github.com/albertoarturovergani/berger-

mandalas. It is noteworthy that the composition of 100 Berger mandalas can also be perceived as a single

stand-alone large Berger mandala, evoking various hierarchies of periodic spatial structures.

Scientiﬁc Outcomes

Metrics

—

Tot outcomes: 44

Journal papers: 13

Abstracts: 24

Preprints: 4

Thesis: 3 (BSc, MSc, PhD)

—

H index: 6 (scholar), 5 (scopus): (15/02/2025)

Citations: 147 (scholar), 72 (scopus): (15/02/2025)

—

Preprints

[Fab+25]

Michelangelo Fabbrizzi, Lorenzo Gaetano Amato, Leonardo Martinelli, Jacopo Carpaneto, Emanuele

Bartolini, Sara Calderoni, Alessadra Retico,

Vergani, Alberto Arturo

, and Alberto Mazzoni.

Reconstructing whole-brain structure and dynamics using imaging data and personalized modeling.

2025.

[A A+24b] A. A. Vergani

, S. Mazzeo, V. Moschini, R. Burali, M. Lassi, L. G. Amato, J. Carpaneto, G.

Salvestrini, C. Fabbiani, G. Giacomucci, C. Morinelli, F. Emiliani, M. Scarpino, S. Bagnoli, A.

Ingannato, B. Nacmias, S. Padiglioni, S. Sorbi, V. Bessi, A. Grippo, and A. Mazzoni. Event-Related

Potential Markers of Subject Cognitive Decline and Mild Cognitive Impairment during a sustained

visuo-attentive task. Feb. 27, 2024. doi:10.1101/2024.01.30.577910.

[Ver22] Vergani, Alberto Arturo

.Solving clustering as ill-posed problem: experiments with K-Means

algorithm. 2022. doi:https://arxiv.org/abs/2211.08302.

[VH20b] Vergani, Alberto Arturo

and Christian Robert Huyck. Critical Limits in a Bump Attractor Network

of Spiking Neurons. 2020. doi:https://arxiv.org/abs/2003.13365.

Journal Papers

[Tad+25]

Fabio Taddeini, Giulia Avvenuti,

Vergani, Alberto Arturo

, Jacopo Carpaneto, Francesca Setti,

Damiana Bergamo, Linda Fiorini, Pietro Pietrini, Emiliano Ricciardi, Giulio Bernardi, et al. “Extended

cognitive load induces fast neural responses leading to commission errors”. In: eNeuro (2025).

[Ver25]

Alberto Arturo Vergani. “Archibald Vivian Hill (1886–1977)”. In: Journal of Neurology 272.3

(2025), p. 190. doi:https://doi.org/10.1007/s00415-025-12939-y.

[Ama+24a]

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: Diagnosis, Assessment & Disease

Monitoring 16.1 (2024), e12526. doi:https://doi.org/10.1002/dad2.12526.

[Tad+24]

Fabio Taddeini, Erica Ordali, Alessandra Govoni, Francesca Piattellini, Simone Valente, Luca Care-

mani,

Vergani, Alberto A

, Ahmet Kaymak, Aldo Rustichini, Eleonora Russo, et al. “Dopaminergic

therapy disrupts decision-making in impulsive-compulsive Parkinsonian patients”. In: Annals of

Clinical and Translational Neurology (2024).

[Ver24a] Vergani, Alberto Arturo

. “Hans Berger (1873-1941): the German psychiatrist who recorded the

ﬁrst electrical brain signal in humans 100 years ago”. In: Advances in Physiology Education (2024).

doi:https://doi.org/10.1152/advan.00119.2024.

[Ver24b]

Alberto Arturo

Vergani

. “Louis Lapicque (1866–1952)”. In: Journal of Neurology (2024), pp. 1–2.

doi:https://doi.org/10.1007/s00415-024-12705-6.

[Las+23]

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.

[Maz+23a]

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.

[Maz+23b]

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.

[Ort+23]

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.

[HV20b]

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.

[VMB20] 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.

[Bin+18]

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.

Conference Abstracts

[A A+25] A. A. Vergani

, P. Faris, M. De Grazia, C. Casellato, and E. U. D’Angelo. “Dysfunction in a

Schizophrenic Cerebellar Mouse Model Due to Multiscale Structural Alterations”. In: Computational

Neuroscience in MNESYS. Feb. 3, 2025. doi:10.13140/RG.2.2.24207.50088.

[A A+24a] A. A. Vergani

, P. Faris, M. De Grazia, C. Casellato, and E. U. D’Angelo. “Structural alterations of

cerebellar microcircuits in schizophrenia: from physiology to models”. In: IX School of Brain Cells

and Circuits "Camillo Golgi", Erice, Italy. Dec. 10, 2024. doi:10.13140/RG.2.2.17643.25125.

[A A+24c] A. A. Vergani

, S. Mazzeo, V. Moschini, R. Burali, M. Lassi, L. G. Amato, J. Carpaneto, G.

Salvestrini, C. Fabbiani, G. Giacomucci, C. Morinelli, F. Emiliani, M. Scarpino, S. Bagnoli, A.

Ingannato, B. Nacmias, S. Padiglioni, S. Sorbi, V. Bessi, A. Grippo, and A. Mazzoni. “Gender

diﬀerences in event-related potentials of subjective cognitive decline and mild cognitive impairment

during a sustained visuo-attentive task”. In: FENS Forum 2024. Vienna (Austria), June 27, 2024.

[A A+24d] A. A. Vergani

, S. Mazzeo, V. Moschini, R. Burali, M. Lassi, L. G. Amato, J. Carpaneto, G.

Salvestrini, C. Fabbiani, G. Giacomucci, C. Morinelli, F. Emiliani, M. Scarpino, S. Bagnoli, A.

Ingannato, B. Nacmias, S. Padiglioni, S. Sorbi, V. Bessi, A. Grippo, and A. Mazzoni. “Sex

neurophysiological signatures in subjective cognitive decline and mild cognitive impairment associated

with low and high demanding memory tasks”. In: SINdem Conference 2024, Società Italiana di

Neurologia, sezione Demenze, Padova, Italy. Sept. 28, 2024.

[A A+24e] A. A. Vergani

, S. Mazzeo, V. Moschini, R. Burali, M. Lassi, L. G. Amato, J. Carpaneto, G.

Salvestrini, C. Fabbiani, G. Giacomucci, C. Morinelli, F. Emiliani, M. Scarpino, S. Bagnoli, A.

Ingannato, B. Nacmias, S. Padiglioni, S. Sorbi, V. Bessi, A. Grippo, and A. Mazzoni. “Sex-Speciﬁc

Event-Related Potentials in Visual Encoding Along the Cognitive Decline Continuum”. In: XXXII

SIPF Conference 2024, Società Italiana di Psicoﬁsologia e Neuroscienze Cognitive, Cesena, Italy.

Sept. 5, 2024.

[Ama+24b]

Lorenzo Gaetano Amato,

Vergani, Alberto Arturo

, Michael Lassi, Salvatore Mazzeo, Antonello

Grippo, Valentina Bessi, and Alberto Mazzoni. “Predicting Alzheimer’s disease biological hallmarks

from EEG recordings”. In: Alzheimer’s Association International Conference. ALZ. 2024.

[Ver+23a] Vergani, AA