Selected publications. Please, see the personal pages of the coordinators here for a complete list of publications.
| Neural and computational basis of decision-making | ||
| 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 |
| Holroyd, C. B., Ribas-Fernandes, J. J., Shahnazian, D., Silvetti, M., & Verguts, T. (2018) | Human midcingulate cortex encodes distributed representations of task progress | Proceedings of the National Academy of Sciences, 115(25), 6398-6403 |
| 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 |
| Silvetti, M., Seurinck, R., van Bochove, M., & Verguts, T. (2013) | The influence of the noradrenergic system on optimal control of neural plasticity | Frontiers in Behavioral Neuroscience, 7, 160 |
| 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’Addario, 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’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 |
| 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’Amelio, M., Puglisi Allegra, S., Baldassarre, G. (2020) | Computational modelling of catecholamines dysfunction in Alzheimer’s Disease at pre-plaque stage | Journal of Alzheimer’s Disease, 77, 275-290 |
| Silvetti, M., Baldassarre, G., & Caligiore, D. (2019) | A Computational Hypothesis on How Serotonin Regulates Catecholamines in the Pathogenesis of Depressive Apathy | Multiscale Models of Brain Disorders (pp. 127-134), Springer |
| Caligiore, D., Mannella, F., & Baldassarre, G. (2019) | Different dopaminergic dysfunctions underlying Parkinsonian akinesia and tremor | Frontiers in Neuroscience, 13, 550 |
| Caligiore, D., Mustile, M., Spalletta, G., & Baldassarre, G. (2017) | Action observation and motor imagery for rehabilitation in Parkinson’s disease: a systematic review and an integrative hypothesis | Neuroscience & Biobehavioral Reviews, 72, 210-222 |
| Caligiore, D., Helmich, R. C., Hallett, M., Moustafa, A. A., Timmermann, L., Toni, I., & Baldassarre, G. (2016) | Parkinson’s disease as a system-level disorder | NPJ Parkinson’s Disease, 2, 1-9 |
| Silvetti, M., Wiersema, J. R., Sonuga-Barke, E., & Verguts, T. (2013) | Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD | Neural Networks, 46, 199-209 |
| Cerebellum, basal ganglia, and cortex as a system | ||
| Caligiore, D., Mirino, P. (2020) | How the Cerebellum and Prefrontal Cortex Cooperate During Trace Eyeblinking Conditioning | International Journal of Neural Systems |
| Caligiore, D., Arbib, M. A., Miall, R. C., & Baldassarre, G. (2019) | The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia | Neuroscience & Biobehavioral Reviews |
| Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., … & Lago-Rodriguez, A. (2017) | Consensus paper: towards a systems-level view of cerebellar function: the interplay between cerebellum, basal ganglia, and cortex | The Cerebellum, 16(1), 203-229 |
| Caligiore, D., Mannella, F., Arbib, M. A., & Baldassarre, G. (2017) | Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome | PLoS Computational Biology, 13(3) |
| Caligiore, D., Pezzulo, G., Miall, R. C., & Baldassarre, G. (2013) | The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities | Neuroscience & Biobehavioral Reviews, 37(10), 2504-2515 |