Alumni achievements

STUDENTS’ SCIENTIFIC PUBLICATIONS

  1. Angelini, G., Malvaso, A., Schirripa, A., Campione, F., D’Addario, S. L., Toschi, N., & Caligiore, D. (2024). Unraveling sex differences in Parkinson’s disease through explainable machine learning. Journal of the Neurological Sciences, 123091.
  2. Malvaso, A., Panarese, S., Catalano, M., Migliore, M., & Caligiore, D. (2024). Advanced perspectives for the diagnosis of Parkinson’s and Alzheimer’s disease through machine learning techniques. Parkinsonism & Related Disorders, 122.
  3. Campione, F., Catena, E., Schirripa, A., & Caligiore, D. Creatività umana e intelligenza artificiale generativa: similarità, differenze e prospettive. Sistemi intelligenti, 1-26.
  4. Mattioli, F., Maglianella, V., D’Antonio, S., Trimarco, E., & Caligiore, D. (2023). Non-invasive brain stimulation for patients and healthy subjects: Current challenges and future perspectives. Journal of the Neurological Sciences, 122825.
  5. Biggio, M., Caligiore, D., D’Antoni, F., Bove, M., & Merone, M. (2022). Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes. Scientific Reports, 12, 1-10.
  6. Caligiore, D., Giocondo, F., & Silvetti, M. (2022). The Neurodegenerative Elderly Syndrome (NES) hypothesis: Alzheimer and Parkinson are two faces of the same disease. IBRO Neuroscience Reports, 13, 330-343.
  7. Afferni, P., Cascino-Milani, F., Mattera, A., Baldassarre, G. (2022). A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity. Frontiers in Computational Neuroscience, 16
  8. Merone, M., D’Addario, S.L, Mirino, P., Bertino, F., Guariglia, C., Ventura, R., Capirchio, A., Baldassarre, G., Silvetti, M., & Caligiore, D. (2022). A multi-expert ensemble system for predicting Alzheimer transition using clinical features. Brain Informatics 9, 1-11.
  9. Di Vincenzo, M., Palini, F., De Marsico, M. Borghi, A.M. & Baldassarre, G. (2022). A natural human-drone embodied interface: empirical comparison with a traditional interface. Frontiers in Neurorobotics, 137.
  10. Farinella, F., Merone, M., Bacco, L., Capirchio, A., Ciccozzi, M., & Caligiore, D. (2022). Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers. Scientific Reports, 12, 1-12.
  11. Giocondo, F., Borghi, A. M., Baldassarre, G., & Caligiore, D. (2022). Emotions Modulate Affordances-Related Motor Responses: A Priming Experiment. Frontiers in Psychology, 13.
  12. Pianca, F., & Santucci, V. G. (2022). Interdependence as the key for an ethical artificial autonomy. AI & Society, 1-15.
  13. Marconi, L., Sonzogni B., Cecconi F. (2021). Improving social stability: a democracy perception analysis in the European. Sociologia (Gangemi Editore SpA), 55.
  14. Trimarco, E., Mirino, P., & Caligiore, D. (2021). Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder. Frontiers in Systems Neuroscience, 15.
  15. Caligiore, D., Montedori, F., Buscaglione, S., & Capirchio, A. (2021). Increasing Serotonin to Reduce Parkinsonian Tremor. Frontiers in Systems Neuroscience, 66.
  16. Mustile, M., Giocondo, F., Caligiore, D., Borghi, A. M., & Kourtis, D. (2021). Motor inhibition to dangerous objects: Electrophysiological evidence for task-dependent aversive affordances. Journal of Cognitive Neuroscience, 1-14.
  17. Tamantini, C., Di Luzio, F. S., Cordella, F., Pascarella, G., Agro, F. E., & Zollo, L. (2021). A Robotic Health-Care Assistant for COVID-19 Emergency: A Proposed Solution for Logistics and Disinfection in a Hospital Environment. IEEE Robotics & Automation Magazine
  18. Granato, G., & Baldassarre, G. (2021). Internal Manipulation of Perceptual Representations in Human Flexible Cognition: A Computational Model. Neural Networks, 143, 572-594.
  19. Caligiore, D., & Mirino, P. (2020). How the Cerebellum and Prefrontal Cortex Cooperate During Trace Eye Blinking Conditioning. International Journal of Neural Systems, 30, 2050041.
  20. Celotto, M., De Luca, C., Resta, P. M. F., Allegra Mascaro, A. L., Pavone, F. S., De Bonis, G., & Paolucci, P. S. (2020). Analysis and model of cortical slow waves acquired with optical techniques. Methods and protocols, 3, 14.
  21. Marconi L., Cecconi F. (2020). Opinion dynamics and consensus formation in a Deffuant model with extremists and moderates. arXiv preprint arXiv:2010.01534.
  22. Granato, G., Borghi, A. M., & Baldassarre, G. (2020). A computational model of language functions in flexible goal-directed behaviour. Nature Scientific Reports, 10, 1-13.
  23. Mattera, A., Pagani, M., & Baldassarre, G. (2020). A computational model integrating multiple phenomena on cued fear conditioning, extinction, and reinstatement. Frontiers in Systems Neuroscience, 14.
  24. Mirino, P., Trimarco, E., Caligiore, D. (2020). Atypical cerebellar processing on delay eyeblink conditioning in Autism Spectrum Disorder: a computational hypothesis. International Conference of the Federation of European Neuroscience Societies (FENS), 11-15/07/2020
  25. Lauretti, C., Cordella, F., Tamantini, C., Gentile, C., di Luzio, F. S., & Zollo, L. (2020). A Surgeon-Robot Shared Control for Ergonomic Pedicle Screw Fixation. IEEE Robotics and Automation Letters, 5, 2554-2561
  26. Lanata, A., Greco, A., Di Modica, S., Niccolini, F., Vivaldi, F., Di Francesco, F., Tamantini, C., … & Scilingo, E. P. (2020, June). A New Smart-Fabric based Body Area Sensor Network for Work Risk Assessment. In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (pp. 187-190). IEEE
  27. Lapresa, M., Tamantini, C., di Luzio, F. S., Cordella, F., Bravi, M., Miccinilli, S., & Zollo, L. (2020, June). A Smart Solution for Proprioceptive Rehabilitation through M-IMU Sensors. In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (pp. 591-595). IEEE
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