{"id":58,"date":"2020-04-22T13:05:40","date_gmt":"2020-04-22T13:05:40","guid":{"rendered":"http:\/\/ctnlab.it\/?page_id=58"},"modified":"2025-07-12T15:44:49","modified_gmt":"2025-07-12T15:44:49","slug":"pubblication","status":"publish","type":"page","link":"https:\/\/ctnlab.it\/index.php\/pubblication\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Selected publications. Please, see the personal pages of the coordinators here<\/a> for a complete list of publications.<\/strong><\/p>\n\n\n\n

Neural and computational basis of decision-making<\/strong><\/td><\/tr>
Vriens, T., Vassena, E., Pezzulo, G., Baldassarre, G., & Silvetti, M. (2025)<\/td>Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex.<\/td>PLOS <\/em>Computational Biology,\u00a021<\/em>(4), e1013025.<\/td><\/tr>
Silvetti, M., Lasaponara, S., Daddaoua, N., Horan, M., & Gottlieb, J. (2023)<\/td>A Reinforcement Meta-Learning framework of executive function and information demand.<\/td>Neural Networks,\u00a0157<\/em>, 103-113.<\/td><\/tr>
Silvetti, M., Vassena, E., Abrahamse, E., & Verguts, T. (2018)<\/td>Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner<\/td>PLoS Computational Biology, 14(8), e1006370<\/td><\/tr>
Silvetti, M., Lasaponara, S., Lecce, F., Dragone, A., Macaluso, E., & Doricchi, F. (2016)<\/td>The response of the left ventral attentional system to invalid targets and its implication for the spatial neglect syndrome: a multivariate fMRI investigation<\/td>Cerebral Cortex, 26(12), 4551-4562<\/td><\/tr>
Verguts, T., Vassena, E., & Silvetti, M. (2015)<\/td>Adaptive effort investment in cognitive and physical tasks: A neurocomputational model<\/td>Frontiers in Behavioral Neuroscience, 9, 57<\/td><\/tr>
Silvetti, M., Castellar, E. N., Roger, C., & Verguts, T. (2014)<\/td>Reward expectation and prediction error in human medial frontal cortex: an EEG study<\/td>Neuroimage, 84, 376-382<\/td><\/tr>
Neural and computational basis of neurodegenerative and neuropsychiatric disorders<\/strong><\/td><\/tr>
Caligiore, D., Giocondo, F., & Silvetti, M. (2022)<\/td>The Neurodegenerative Elderly Syndrome (NES) hypothesis: Alzheimer and Parkinson are two faces of the same disease<\/td>IBRO Neuroscience Reports<\/td><\/tr>
Merone, M., D\u2019Addario, S. L., Mirino, P., Bertino, F., Guariglia, C., Ventura, R., … & Caligiore, D. (2022)<\/td>A multi-expert ensemble system for predicting Alzheimer transition using clinical features<\/td>Brain Informatics<\/td><\/tr>
Biggio, M., Caligiore, D., D\u2019Antoni, F., Bove, M., & Merone, M. (2022)<\/td>Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes<\/td>Scientific Reports<\/td><\/tr>
Trimarco, E., Mirino, P., Caligiore, D. (2021)<\/td>Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder<\/td>Frontiers in Systems Neuroscience<\/td><\/tr>
Caligiore, D., Montedori, F., Buscaglione, S., & Capirchio, A. (2021)<\/td>Increasing Serotonin to Reduce Parkinsonian Tremor<\/td>Frontiers in Systems Neuroscience<\/td><\/tr>
Goris, J., Silvetti, M., Verguts, T., Wiersema, J. R., Brass, M., & Braem, S. (2020)<\/td>Autistic traits are related to worse performance in a volatile reward learning task despite adaptive learning rates<\/td>Autism<\/td><\/tr>
Caligiore, D., Silvetti, M., D\u2019Amelio, M., Puglisi Allegra, S., Baldassarre, G. (2020)<\/td>Computational modelling of catecholamines dysfunction in Alzheimer\u2019s Disease at pre-plaque stage<\/td>Journal of Alzheimer\u2019s Disease, 77, 275-290<\/td><\/tr>
Silvetti, M., Baldassarre, G., & Caligiore, D. (2019)<\/td>A Computational Hypothesis on How Serotonin Regulates Catecholamines in the Pathogenesis of Depressive Apathy<\/td>Multiscale Models of Brain Disorders (pp. 127-134), Springer<\/td><\/tr>
Caligiore, D., Mannella, F., & Baldassarre, G. (2019)<\/td>Different dopaminergic dysfunctions underlying Parkinsonian akinesia and tremor<\/td>Frontiers in Neuroscience, 13, 550<\/td><\/tr>
Caligiore, D., Mustile, M., Spalletta, G., & Baldassarre, G. (2017)<\/td>Action observation and motor imagery for rehabilitation in Parkinson\u2019s disease: a systematic review and an integrative hypothesis<\/td>Neuroscience & Biobehavioral Reviews, 72, 210-222<\/td><\/tr>
Caligiore, D., Helmich, R. C., Hallett, M., Moustafa, A. A., Timmermann, L., Toni, I., & Baldassarre, G. (2016)<\/td>Parkinson\u2019s disease as a system-level disorder<\/td>NPJ Parkinson\u2019s Disease, 2, 1-9<\/td><\/tr>
Silvetti, M., Wiersema, J. R., Sonuga-Barke, E., & Verguts, T. (2013)<\/td>Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD<\/td>Neural Networks, 46, 199-209<\/td><\/tr>
Cerebellum, basal ganglia, and cortex as a system<\/strong><\/td><\/tr>
Caligiore, D., Mirino, P. (2020)<\/td>How the Cerebellum and Prefrontal Cortex Cooperate During Trace Eyeblinking Conditioning<\/td>International Journal of Neural Systems<\/td><\/tr>
Caligiore, D., Arbib, M. A., Miall, R. C., & Baldassarre, G. (2019)<\/td>The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia<\/td>Neuroscience & Biobehavioral Reviews<\/td><\/tr>
Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., \u2026 & Lago-Rodriguez, A. (2017)<\/td>Consensus paper: towards a systems-level view of cerebellar function: the interplay between cerebellum, basal ganglia, and cortex<\/td>The Cerebellum, 16(1), 203-229<\/td><\/tr>
Caligiore, D., Mannella, F., Arbib, M. A., & Baldassarre, G. (2017)<\/td>Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome<\/td>PLoS Computational Biology, 13(3)<\/td><\/tr>
Caligiore, D., Pezzulo, G., Miall, R. C., & Baldassarre, G. (2013)<\/td>The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities<\/td>Neuroscience & Biobehavioral Reviews, 37(10), 2504-2515<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/h4>\n","protected":false},"excerpt":{"rendered":"

Selected publications. Please, see the personal pages of the coordinators here for a complete list of publications. Neural and computational basis of decision-making Vriens, T., Vassena, E., Pezzulo, G., Baldassarre, G., & Silvetti, M. (2025) Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex. PLOS Computational Biology,\u00a021(4), e1013025. Silvetti, M., Lasaponara, S., Daddaoua, N., Horan, M., & Gottlieb, J. (2023) A Reinforcement Meta-Learning framework of executive function and information demand. Neural Networks,\u00a0157, 103-113. Silvetti, M., Vassena, E., Abrahamse, E., & Verguts, T. (2018) Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner PLoS Computational Biology, 14(8), e1006370 Silvetti, M., Lasaponara, S., Lecce, F., Dragone, A., Macaluso, E., & Doricchi, F. (2016) The response of the left ventral attentional system to invalid targets and its implication for the spatial neglect syndrome: a multivariate fMRI investigation Cerebral Cortex, 26(12), 4551-4562 Verguts, T., Vassena, E., & Silvetti, M. (2015) Adaptive effort investment in cognitive and physical tasks: A neurocomputational model Frontiers in Behavioral Neuroscience, 9, 57 Silvetti, M., Castellar, E. N., Roger, C., & Verguts, T. (2014) Reward expectation and prediction error in human medial frontal cortex: an EEG study Neuroimage, 84, 376-382 Neural and computational basis of neurodegenerative and neuropsychiatric disorders 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 Merone, M., D\u2019Addario, S. L., Mirino, P., Bertino, F., Guariglia, C., Ventura, R., … & Caligiore, D. (2022) A multi-expert ensemble system for predicting Alzheimer transition using clinical features Brain Informatics Biggio, M., Caligiore, D., D\u2019Antoni, F., Bove, M., & Merone, M. (2022) Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes Scientific Reports 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 Caligiore, D., Montedori, F., Buscaglione, S., & Capirchio, A. (2021) Increasing Serotonin to Reduce Parkinsonian Tremor Frontiers in Systems Neuroscience Goris, J., Silvetti, M., Verguts, T., Wiersema, J. R., Brass, M., & Braem, S. (2020) Autistic traits are related to worse performance in a volatile reward learning task despite adaptive learning rates Autism Caligiore, D., Silvetti, M., D\u2019Amelio, M., Puglisi Allegra, S., Baldassarre, G. (2020) Computational modelling of catecholamines dysfunction in Alzheimer\u2019s Disease at pre-plaque stage Journal of Alzheimer\u2019s Disease, 77, 275-290 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"jetpack_sharing_enabled":true,"guten_post_layout_featured_media_urls":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"guten_post_layout_landscape_large":false,"guten_post_layout_portrait_large":false,"guten_post_layout_square_large":false,"guten_post_layout_landscape":false,"guten_post_layout_portrait":false,"guten_post_layout_square":false,"sciencexlite-blog-thumb":false},"_links":{"self":[{"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/pages\/58"}],"collection":[{"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":42,"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":3963,"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/pages\/58\/revisions\/3963"}],"wp:attachment":[{"href":"https:\/\/ctnlab.it\/index.php\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}