Research, Innovation, and Society Research UnitNEUROFITA

NEUROFITA

 

We are currently in the era known as the Anthropocene, in which humanity and human activities have become global geophysical forces and the main drivers of global environmental change.

Anthropogenic pressure has exceeded the planet’s ‘safe operating space’ in terms of climate change, pollutant loads of CO₂, NOx, SOx and PM10, and the loss of biodiversity. It has also been emphasised that the planet’s radiation spectrum bears a human signature, from which it is possible to capture a night-time image of the Earth from space. All aspects of global environmental change are linked to the interaction between people and the environment. The disciplines of Environmental Technical Physics, Neuroscience and Psychology, as well as Bioengineering, study natural and socio-human ecological systems – and their exchange of energy and matter flows with the ecosphere and the anthroposphere – using different but closely related approaches that produce synergistic effects.

The research unit stems from the integration of the disciplines and fields of study that form part of Environmental Technical Physics, Neuroscience, Cognitive Psychology and Bioengineering.
The approach to understanding natural, architectural, urban and social systems proposed by the NEUROFITA research unit – which views these as a network characterised by synchrony, plasticity and feedback loops, comprising complex, dynamic and resilient systems and subsystems – is based on the integration of the knowledge and expertise drawn from the various scientific disciplines that make up the unit.

Environmental Engineering Physics studies the fundamental and applied aspects of thermofluid dynamics, heat transfer, energy, lighting and applied acoustics, as applied in the fields of industrial, civil and environmental engineering, as well as in the fields of spatial planning, architecture and industrial design. This sector offers opportunities for growth in areas such as the physics of confined environments (building thermophysics, environmental thermofluid dynamics, lighting technology and environmental acoustics), energy-efficiency solutions for building and plant systems designed to ensure people’s wellbeing, health and safety, and the conservation of built heritage thermal comfort, air quality, visual comfort, acoustic comfort, ergonomics of confined spaces, conservation of artistic and architectural heritage), environmental analysis methodologies (techniques for the collection and processing of environmental data), passive technologies and building services systems designed to meet environmental requirements (air conditioning, lighting and acoustics),  energy and environmental planning and the management of energy services at regional, urban and building levels (rational use of energy; renewable energy sources and related technologies; thermal, atmospheric, light and noise pollution).

The field of cognitive, affective and social neuroscience and cognitive psychology encompasses the scientific disciplines relating to the neurophysiological foundations and cognitive mechanisms underlying the organisation of behaviour in terms of both cognitive and emotional responses (perception, emotion, motivation, memory, learning, thought, language) through which humans interact with their environment and process representations of that environment and of themselves. It also encompasses psychological research into inter-individual differences, methods of communication, social aspects such as emotional relationships, and cognitive and emotional responses to a variety of experiences (art, the natural environment, etc.); and deals with techniques for objective measurement, whether through behavioural methods (psychophysics), electroencephalography (EEG) or pupillometric methods, applicable to both natural and artificial cognitive systems and their interactions. One can also explore the neurophysiological and psychological aspects associated with different mental states, such as alertness, relaxed wakefulness and states of well-being. Neuroscience also enables us to use advanced neuroimaging techniques to explore the ‘neurophysiological substrate underlying the processes traditionally investigated by social psychology’, in order to understand the complex and ever-changing relationships that exist between brain activity and the functions under investigation.

Bioengineering is based on the organic integration of engineering methodologies and technologies – primarily those of information technology – with the medical and biological issues encountered in the life sciences, clinical engineering, the world of work and sport.  The core methodologies of the sector relate to the modelling of physiological systems (from cellular components to systems and organs); the description of electrical and/or magnetic phenomena and the equipment used to measure and modify them; data and signal processing; bioimaging; and the representation of medical and biological knowledge. Technologies include biomedical and biotechnological equipment (diagnostic, therapeutic and rehabilitative: from basic components to integrated hospital systems); prostheses, biomedical robots and artificial intelligence systems; systems for healthcare management and organisation; information systems at patient, ward, hospital, regional and national levels; medical informatics; and telemedicine. Areas of advanced research in biology and neuroscience include cell and tissue engineering, computational techniques for biology and neurology (neuroinformatics and bioinformatics), and bioelectronics. These, then, are the foundations of a team that engages in ‘service-oriented’ science and research – that is, research that provides essential support for the health of nature and people, and thus serves as a crucial reference point for all reasoning and action concerning the local area, space, energy resources, health and social development, and the environment.

Objectives

Awareness of the limited nature of resources and their increasing depletion, coupled with the effects of environmental pollution, has led to the concept of sustainability being used to underpin various initiatives and proposals relating to projects, decision-making and policy across a range of sectors.

At present, in fact, concepts such as sustainable design, sustainable planning, sustainable construction, eco-sustainability, eco-compatibility, sustainable agriculture, sustainable architecture (in the specific sense of clean technologies and clean products), sustainable chemistry, sustainable eco-efficient services and systems, as well as sustainable economic development (financial eco-management) are recognised, at least from a terminological point of view. 

Generally speaking, the terms ‘environmental sustainability’ and ‘sustainable economic and regional development’ are used, which can be traced back to the following basic objectives:

• reducing the rates of energy consumption and resource depletion per unit of output;
• replacing non-renewable resources with renewable ones
• The concept of sustainability, in its broadest sense, implies:
• the protection of the environment and biodiversity;
• population control and urban development;
• energy efficiency and effectiveness (energy saving and energy cascade);
• integrated use of renewable resources;
• management of environmental impact, anthropogenic pressure and the reduction of pollutant emissions;
• management of waste products;
• analysis of recycling and recovery options;
• analysis and assessment of the life cycle of products and processes.

With this in mind, the basic sustainability indicators are defined, which can be traced back to specific measures of sustainability and quality, performance indicators and/or conditions of sustainable development, namely:

• state;
• pressure;
• response.

This therefore involves analysing:

• the pressure that society places on the environment in the form of resource depletion, pollution, loss of biodiversity and global climate change;
• the actual state of the environment compared with the defined optimal condition of sustainability
  in terms of energy, the environment and society;
• the response of human activity, primarily in the political and social forms of decisions,
  alternative measures and interventions.

Given that today we must tackle global warming and, consequently, everything that this entails – such as the need for climate adaptation, the green energy transition, the green economy, the reduction of environmental impacts and anthropogenic pressures, energy and environmental sustainability, the protection of nature, human health and the environment, as well as biodiversity – NEUROFITA aims to clarify what a system and an integrated systemic methodological approach truly are, and what they entail in terms of understanding nature and interpreting the phenomena associated with it; it also aims to lay the foundations for new psychological, educational and cultural processes designed to change the way we relate to and interact with the environment, as well as the way we reason, think, act and conduct research.

NEUROFITA conducts applied operational research into broad and complex issues ranging from the vision and (virtual) design of the city of the future to urban planning based on energy and environmental sustainability, as a means of supporting decentralised, high-density settlement models (decentralised concentration) decision-making models, environmental energy plans, construction and social processes relating to spatial, psycho-socio-cultural organisation, as well as biological and biotechnological processes integrated with energy production and efficiency processes in the building sector and in land use, which also provide for opportunities for regeneration, restoration and/or conservation, maintenance and/or recycling and reuse. In addressing issues of sustainability and sustainable development, the integrated methodological approach of the NEUROFITA research unit is a systemic method based on the analysis of the interaction between biophysical, thermodynamic and energy-related variables, as well as neuroscientific and psychological variables, relating to humans in their relationship with the global environment – that is, the natural, biological, socio-cultural, architectural, urban and peri-urban environments. The aim of NEUROFITA is to study the natural ecosystem through the application of thermodynamics and constructal theory to research into the physical properties, forms and structures of matter found in nature and society. Applications of thermodynamic analysis of the human body in relation to variations in external climatic, environmental-energy, psychological, social and cultural factors, for the assessment and modelling of autonomic nervous system activity in affective computing, mood and mental/neurological disorders, and human/animal/ robot-machine interaction are examples of the research unit’s applied operational research. Another example is the study of the sustainability of a bio-ecological system through the optimal organisation of material and energy flows that influence its potential for conservation, stability, physical, mental and social well-being, growth and development, right through to prosocial behaviour and cultural and economic development. One of the research unit’s main objectives is to quantify the integrity, degree of self-organisation, health and biodiversity of every natural and human system and subsystem, through the dynamics of energy conversions, material cycles, synchronisation processes in systems of empathic mirroring and emotional and social co-regulation, and biophysical and bioneural processes and cycles.

Areas of Activity and Operations

1. knowledge, and therefore an awareness of the existence and modes of action and transformation brought about by innovation, which is strongly characterised by socio-economic and political variables, as well as by the structure, scale and characteristics of the system itself (channels through which innovation is transferred and communicated; information channels);
2. the belief that corresponds to the subject’s favourable or unfavourable attitude towards innovation, that is, the conviction that innovation has an impact on the subject themselves and on their surrounding environment. This phase is highly complex because it concerns the interrelated decisions and actions of the individual in relation to the system, namely: the perceived relative advantage – whereby the greater the benefit, in the broadest sense, perceived by the individual, the more rapidly the innovation spreads; compatibility with the needs and expectations of the individuals and the system; and complexity, in terms of the extent to which an innovation is perceived as relatively difficult to understand and use; testability, that is, the possibility of trying out and experimenting with the innovation – even through trial and error – without having to abandon the technology that has been transferred and acquired; and, finally, observability, that is, the evidence of the positive effects and results achieved. The co-occurrence of these interconnected decisions and actions increases the likelihood that the individual will adopt the innovation and, in turn, adapt and transfer it.
3. the decision as to whether the individual adopts or rejects the innovation; this is closely linked both to behavioural variables and to the characteristics of the system and its level of organisation. The following factors play a part: the individual’s imitative behaviour, the influence of the media, knowledge of the technology, and trust in those who introduce the innovation;
4. implementation, that is, the practical application of the innovation, which is linked to market and installer readiness, to the requirements and performance of the system to which the innovation is transferred, and to the adaptation of the technology itself – that is, the degree of transformation and modification it undergoes when integrated into and adopted by the system;
5. Confirmation, which is linked to the stability achieved by the organisation that has implemented the innovation and, consequently, to the development, evolution and transformation of the innovation in relation to any likely conflicts it may give rise to. Indeed, confirmation forms part of the final stage of the process and involves subsequent steps to recognise the benefits achieved, integrate the innovation into the system, and finally promote and disseminate it.

Some projects

Balocco

• Technical and scientific member for projects developed by the CIRIAF research group, characterised by national and international collaborations (Interuniversity Research Centre, University of Perugia, Department of Architecture, University of Florence, Department of Civil and Environmental Engineering, USA, Department of Engineering, University of Perugia) on Urban Heat Islands (UHIs), their effects, and possibilities for mitigation and control.
• Head of the University of Florence’s local unit for the PRIN 2008–2010 project, entitled “Natural light design focused on energy saving and visual comfort: dynamic modelling indices, glare assessment indices and the performance of integrated ventilation systems”, with Prof. Chiara Aghemo of the Polytechnic University of Turin – Faculty of Architecture as National Coordinator; from 1 January 2008 to 1 January 2010.
• Scientific Coordinator for Environmental Technical Physics in Florence, as part of the European project ‘Med EcoSuRe – Mediterranean University as Catalyst for Eco-Sustainable Renovation’, an EU research project on ‘low-energy educational buildings’. In particular, as the local Technical Physics coordinator and scientific lead, I contributed to the development of the Well LivingLAB, enabling the creation of a continuous environmental monitoring system based on Digital Twin-BIM, covering microclimatic, thermophysical and lighting aspects, as well as occupant presence, perception/vision and behaviour.
• Scientific Lead for the entire project, coordinator and point of contact for UNIFI and the City of Florence for Project D.1 – LIFE Energy + LIFE Climate – Project 101157553 — LIFE23-CCA-IT-LIFE ESCAPOS “Environmental energy for Strategic CApillary urban POlicieS” (funded by the European Union; Project title in UGOV: “BALOCCO_ESCAPOS_UE24”, which was funded following a Call-EU-LIFE23-27, received the highest marks and commenced on 1 July 2024.
• The Italian Lighting Association (AIDI, Milan) – of which I served as Regional Chair for Tuscany from 2016 to 2018 – together with the Ministry of Justice and ENEA, the National Agency for New Technologies, Energy and Economic Development, commissioned me to carry out a study on the upgrading of lighting systems in Italian prisons, with a focus on overall environmental comfort and visual comfort. From 3 October 2017 to 3 October 2018.
• Scientific Lead and Project Coordinator for the SLiCE (Smart Lighting Communication for Exhibition) project as part of the PIN-PRISMA and PIN_Prato research and experimentation projects. Funded by MIMIT/MISE and PRISMA. (2023–2024).

Arrighi

• 2022-2024 Project Tuscany Health Ecosystem (THE): Principal Investigator (PI) del progetto “Advanced pupillometry sensors for measuring cognitive and emotive states” (Budget 280.000 euro) Progetto finanziato nell'ambito del Piano Nazionale di Ripresa e Resilienza (PNRR), Investimento 1.5 Ecosistemi dell’Innovazione, Progetto Tuscany Health Ecosystem (THE).
• 2020–2022 Funding for competitive projects for Fixed-Term Researchers (RTD) at the University of Florence: Unit Leader for the project “Safe CrossWALKs in urban areas: assessment of countermeasures to improve pedestrian safety (SWALK)” Principal investigator: Dr Monica Meocci, Civil and Environmental Engineering (Dicea) University of Florence.
• 2019–2023 PRIN 2017 Research Projects of National Relevance: Unit Leader for the EnviroMAG project. Principal Investigator: Prof. Fabrizio Doricchi, Faculty of Medicine and Psychology, Sapienza University of Rome. 2013–2016 Future in Basic Research (FIRB): Unit Leader for the project ‘Early visual maps flexibly encode multimodal space’. Principal Investigator: Prof. Paola Binda, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa.

Lanatà

• SENSE RISC – Development of smart, sensor-equipped clothing for the prevention and mitigation of risks to workers’ safety (Sense RISC, BRiC – 2018, Duration: 24 months).
• POTION - Promoting social interaction through emotional body odours. (POTION, H2020-FETPROACT-2018-01, https://cordis.europa.eu/project/id/824153, Start: January 1st, 2019, Duration: 60 months).
• CEEDS - Collective Experience of Empathic Data Systems (CEDDs, FET-ICT- 2009.8.4-258749, Start: September 1st, 2009, Duration: 48 months).
• PSYCHE - Personalised monitoring SYstems for Care in mental HEalth( PSYCHE, FP7-ICT-2009.5.1-247777, Start: January 1st, 2010, Duration: 40 months).

Marzi

• In collaboration with Prof. A. Peru (NEUROFARBA, University of Florence), a project is currently underway aimed at studying the processes involved in working memory, control and inhibition processes, and the formation of first impressions of faces (trust), during development and ageing.
• In collaboration with Dr A. Guazzini (VirtHuLab, CSDC) and the Centre for the Study of Complex Dynamics, work is currently underway on the design and development of a computerised system for assessing cognitive processes in older people.
• In collaboration with Prof. B. Rahm (Department of Medical Psychology and Medical Sociology, University of Mainz, Germany), a research project is currently underway on the influence of cognitive factors on decision-making.
• In collaboration with Prof. J. Kaiser (Institute of Medical Psychology, Goethe University, Frankfurt am Main, Germany), a research project is currently underway to investigate synchronised gamma activity in cognitive decision-making processes.

Key publications

Balocco

1. C.Balocco, S.Salata, S.Ronchi, I. Pigliautile, C.Fabiani, C.Piselli, A.L. Pisello, R.J. Cureau, Energy and Urban form by means of experimental evidence and digital georeferenced reconstruction, Cities Int. Journal (2024)
2. Carla Balocco, Cristina Piselli, Simone Forastiere, Andrea Silei, Fabio Sciurpi, Franco Cotana. Energy efficiency in the commercial sector. Thermodynamics fundamentals for the energy transition, Energy Reports Journal 2024 WOS:001236222000001 Scopus: 2-s2.0- 85191329473 DOI: 10.1016/j.egyr.2024.04.033
3. Roberta Jacoby Cureau; Carla Balocco; Ilaria Pigliautile; Cristina Piselli; Claudia Fabiani; Franco Cotana; Cristina Carletti; Fabio Sciurpi. On urban microclimate spatial-temporal dynamics: evidence from the integration of fixed and wearable sensing techniques and mapping urban wellbeing. In attesa di pubblicazione su ENVRES, Environmental Research 2023
4. Carla Balocco, Cristina Piselli, Ilaria Pigliautile, Claudia Fabiani, Roberta J. Cureaù, Fabio Sciurpi, Cristina Carletti, Anna Laura Pisello, Franco Cotana, Microclimate Assessment At Real Experimental Conditions For Green Energy Urban Policy on IJSDP-IIETA, Int. J. of Sustainable Development and Planning, 2022, Vol. 17, No. 5, pp. 1381-1387. https://doi.org/10.18280/ijsdp.1705015.
5. Carla Balocco, R.J. Cureau, F.Cotana, C.Fabiani, I.Pigliautile; C.Piselli; A.L.Pisello; S.Ronchi; S.Salata, Georeferenced fix and mobile environmental data to assess microclimate change in complex urban areas toward resilient planning, In Volume a cura di P. Rajagopalan, V. Soebarto and H. Akbari (Eds.), 6 th International Conference on Countermeasures to Urban Heat Islands (IC2UHI), pp. 1–10. 2023, RMIT University, Melbourne, Australia, 6 th International Conference on Countermeasures to Urban Heat Islands (IC2UHI), RMIT University, Melbourne, Australia 2023.
6. C.Balocco, F.Leccese, G.Volante, G.Salvadori, 2020 Modelling Sustainable Lighting with Eyetracker and Spatial Syntax techniques. Int. Journal of Physics: IOP Conf. Ser.: Mater. Sci. Eng. 949 012047. WOS:000647639100050
7. C.Balocco, L.Leoncini. Energy Cost for Effective Ventilation and Air Quality for Healthy Buildings: Plant Proposals for a Historic Building School Reopening in the Covid-19 Era, Sustainability Int. J., Special Issue Energy Efficiency of the Indoor Environment 2020, pp1-16. Sustainability 2020, 12, 8737; WOS:0005830781000018.
8. C.Balocco, F. S.Cataliotti, L. Mucchi, S. Caputo, A.Scacchi. 2018. Lighting Design and Visible Light Communication. Un esempio di luce strutturata e qualità della visione. pp.106-
   111. In LUCE - ISSN:1828-0560 vol. 324
9. C.Balocco, A. Farini, E. Baldanzi, G Volante, Light, Information and Perception inside Historical Buildings. A Case Study. IOP Conference Series: Materials Science and Engineering, vol 364, 2018. 012007 doi:10.1088/1757-899X/364/1/01200710.
10. C. Balocco, G.Volante, Lighting Design for Energy Sustainability, Information, and Perception. A Museum Environment as a Case Study. Sustainability Int. Journal, 2018, vol 10,
    pp. 1671-1688; doi:10.3390/su10051671

Arrighi

1. Petrizzo I.; Mikellidou K.; Avraam S.; Avraamides M.; Arrighi R. Reshaping the peripersonal space in virtual reality. Scientific Reports (2024).
2. Grasso P.A.; Petrizzo I.; Coniglio F.; Arrighi R. Electrophysiological correlates of temporal numerosity adaptation. Frontiers in Neuroscience (2024)
3. Petrizzo I.; Pellegrino M.; Anobile G.; Doricchi F.; Arrighi R. Top-down determinants of the numerosity–time interaction. Scientific Reports (2023).
4. Grasso, P. A., Anobile, G., Arrighi, R., Burr, D. C. & Cicchini, G. M. Numerosity perception is tuned to salient environmental features. iScience (2022).
5. Cicchini, G. M., Anobile, G., Chelli, E., Arrighi, R. & Burr, D. C. Uncertainty and Prior Assumptions, Rather Than Innate Logarithmic Encoding, Explain Nonlinear Number-to- Space Mapping. Psychological Science (2022).
6. Burr, D. C., Anobile, G., Castaldi, E. & Arrighi, R. Numbers in action. Behavioral and Brain Sciences (2021).
   7.    Anobile, G., Arrighi, R., Castaldi, E. & Burr, D. C. A Sensorimotor Numerosity System. Trends in Cognitive Sciences (2021).
7. Anobile, G., Castaldi, E., Moscoso, P. A., Burr, D. C. & Arrighi, R. “Groupitizing”: a strategy for numerosity estimation. Scientific Reports (2020).
8. Burr, D. C., Anobile, G. & Arrighi, R. Psychophysical evidence for the number sense. Philosophical Transactions of the Royal Society B: Biological Sciences (2018).
9. Anobile, G., Arrighi, R., Togoli, I. & Burr, D. C. A shared numerical representation for action and perception. eLife (2016).

Marzi

1. Carla Balocco, Tessa Marzi, Franco Bagnoli, Brunella Casalini, Marco Maggesi, Francesco Grasso (2024). “Sistema, Complessità e Natura. Nuovi paradigmi per la progettazione energetica ambientale-urbana”. BOLLETTINO INGEGNERI, pp. 1-9, ISSN:2035-24172.
2. Marzi Tessa, Gronchi Giorgio, Turano Maria Teresa, Giovannelli Fabio, Giganti Fiorenza, Rebai Mohamed, Viggiano Maria Pia (2021). Mapping the featural and holistic face processing of bad and good face recognizers. BEHAVIORAL SCIENCES, vol. 11, pp. 0-0, ISSN:2076-328X3.
3. Zabini F.; Albanese L.; Becheri F.R.; Gavazzi G.; Giganti F.; Giovanelli F.; Gronchi G.; Guazzini A.; Laurino M.; Li Q.; Marzi T.; Mastorci F.; Meneguzzo F.; Righi S.; Viggiano M.P. (2020). Comparative study of the restorative effects of forest and urban videos during covid-19 lockdown: Intrinsic and benchmark values. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 17, pp. 1-13, ISSN:1660- 4601
4. MARZI TESSA (2019). Psicologia Generale capire la mente osservando il comportamento. di Nigel Holt, Andy Bremner, Ed Sutherland, Michael Vliek, Michael W. Passer, Ronald E. Smith, McGraw-Hill.
5. Fiori, Ginevra; Marzi, Tessa; Bartoli, Francesca; Bruni, Cosimo; Ciceroni, Carlo; Palomba, Michela; Zolferino, Michela; Corsi, Elena; Galimberti, Marcello; Moggi Pignone, Alberto; Viggiano, Maria Pia; Guiducci, Serena; Calamai, Monica; Matucci-Cerinic, Marco (2018). The challenge of pet therapy in systemic sclerosis: evidence for an impact on pain, anxiety, neuroticism and social interaction. CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, vol. 36 Suppl 113, pp. 135-141, ISSN:0392-856X6.
6. Marzi T.; Peru A. (2018). First impressions on face trustworthiness across ages: Evidence from a cross-sectional study. ARCHIVES ITALIENNES DE BIOLOGIE, vol. 156, pp. 164- 170, ISSN:0003-98297.
7. T. Marzi; S. Righi; S. Ottonello; M. Cincotta; M.P. Viggiano (2014). Trust at first sight: evidence from ERPs. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, pp. 0-0, ISSN:1749-50248.
8. Stefania Righi;Viviana Orlando;Tessa Marzi (2014). Attractiveness and affordance shape tools neural coding: Insight from ERPs. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, vol. 91, pp. 240-253, ISSN:0167-87609.
9. Pierguidi, Lapo; Righi, Stefania; Marzi, Tessa; Viggiano, Maria Pia (2014). Directed forgetting for faces: the role of inhibition and contextual information. NEUROPSYCHOLOGICAL TRENDS, pp. 17-17, ISSN:1970-321X10.
10. S. Righi;T. Marzi;V. Orlando;M.P. Viggiano (2013). 122. When emotions drive encoding: evidence from ERPs. CLINICAL NEUROPHYSIOLOGY, vol. 124, pp. e216-e216, ISSN:1388-2457

Lanatà

1. L. Frassineti, V. Catrambone, A. Lanata, and G. Valenza. Impaired brain-heart axis in focal epilepsy: Alterations in information ow and implications for seizure dynamics, Network Neuroscience, vol. 8, no. 2, p. 541 556, 2024.
2. M. C. Gursesli, S. Lombardi, M. Duradoni, L. Bocchi, A. Guazzini, and A. Lanata. Facial emotion recognition (fer) through custom lightweight cnn model: Performance evaluation in public datasets, IEEE Access, vol. 12, p. 45543 45559, 2024.
3. L. Corsi, P. Liuzzi, S. Ballanti, M. Scarpino, A. Maiorelli, R. Sterpu, C. Macchi, F. Cecchi, B. Hakiki, A. Grippo, A. Lanata, M. C. Carrozza, L. Bocchi, and A. Mannini. Eeg asymmetry detection in patients with severe acquired brain injuries via machine learning methods, Biomedical Signal Processing and Control, vol. 79, 2023.
4. P. Tarchi, M. C. Lanini, L. Frassineti, and A. Lanata. Real and deepfake face recognition: An eeg study on cognitive and emotive implications, Brain Sciences, vol. 13, no. 9, 2023.
5. V. B. Shakhmurov, M. Kurulay, A. Sahmurova, M. C. Gursesli, and A. Lanata, A novel nonlinear dynamic model describing the spread of virus, Mathematics, vol. 11, no. 20, 2023.
6. L. Frassineti, F. Cala, E. Sforza, R. Onesimo, C. Leoni, A. Lanata, G. Zampino, and C. Manfredi, Quantitative acoustical analysis of genetic syndromes in the number listing task, Biomedical Signal Processing and Control, vol. 85, 2023.
7. A. Lanata, A. Greco, M. Ciardelli, A. Uvelli, E. Fratini, D. Manzoni, E. P. Scilingo, E. L. Santarcangelo, and L. Sebastiani, Linear and non linear measures of pupil size as a function of hypnotizability, Scientific Reports, vol. 11, no. 1, 2021.
8. A. Lanata, L. Sebastiani, F. Di Gruttola, S. Di Modica, E. P. Scilingo, and A. Greco, Nonlinear analysis of eye-tracking information for motor imagery assessments, Frontiers in Neuroscience, vol. 13, 2020.
9. G. Valenza, A. Greco, C. Gentili, A. Lanata, L. Sebastiani, D. Menicucci, A. Gemignani, and
   E. Scilingo, Combining electroencephalographic activity and instantaneous heart rate for assessing brain-heart dynamics during visual emotional elicitation in healthy subjects, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 374, no. 2067, 2016.
10. A. Greco, G. Valenza, A. Lanata, E. P. Scilingo, and L. Citi, Cvxeda: A convex optimization approach to electrodermal activity processing, IEEE Transactions on Biomedical Engineering, vol. 63, no. 4, p. 797 804, 2016.