| 19 | De Schepper R, Geminiani A, Masoli S, Rizza MF, Antonietti A, Casellato C, D’Angelo E. Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit. Commun Biol 5, 1240 (14/11/2022). https://doi.org/10.1038/s42003-022-04213-y |
| 18 | Canciani A, Capitanio C, Stanga S, Faravelli S, Scietti L, Mapelli L, Soda T, D’Angelo E, Kienlen-Campard P, Forneris F. Deconstruction of Neurotrypsin Reveals a Multi-factorially Regulated Activity Affecting Myotube Formation and Neuronal Excitability. Mol Neurobiol. 2022 Dec;59(12):7466-7485. doi: 10.1007/s12035-022-03056-2. Epub 2022 Oct 5. PMID: 36197591; PMCID: PMC9616769. |
| 17 | Redolfi A, Archetti D, De Francesco S, Crema C, Tagliavini F, Lodi R, Ghidoni R, Gandini Wheeler-Kingshott CAM, Alexander DC, D’Angelo E. Italian, European, And International Neuroinformatics Efforts: An Overview. Eur J Neurosci. 2022 Oct 30. doi: 10.1111/ejn.15854. Epub ahead of print. PMID: 36310103. |
| 16 |
A multi-layer mean-field model for the cerebellar cortex: design, validation, and prediction.
|
| 15 | Masoli S, Rizza MF, Tognolina M, Prestori F, D’Angelo E. Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation. Front Comput Neurosci. 2022 Oct 28;16:1006989. doi: 10.3389/fncom.2022.1006989. PMID: 36387305; PMCID: PMC9649760. |
| 14 | Fruzzetti L, Kalidindi HT, Antonietti A, Alessandro C, Geminiani A, Casellato C, Falotico E, D’Angelo E. Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and speed of saccadic eye movements. PLoS Comput Biol. 2022 Oct 4;18(10):e1010564. doi: 10.1371/journal.pcbi.1010564. PMID: 36194625; PMCID: PMC9565489. |
| 14 | Grillo M, Geminiani A, Alessandro C, D’Angelo E, Pedrocchi A, Casellato C. Bayesian Integration in a Spiking Neural System for Sensorimotor Control. Neural Comput. 2022 Aug 16;34(9):1893-1914. doi: 10.1162/neco_a_01525. PMID: 35896162. |
| 13 | Monteverdi A, Palesi F, Costa A, Vitali P, Pichiecchio A, Cotta Ramusino M, Bernini S, Jirsa V, Gandini Wheeler-Kingshott CAM, D’Angelo E. Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases. Front Aging Neurosci. 2022 Aug 5;14:868342. doi: 10.3389/fnagi.2022.868342. PMID: 35992607; PMCID: PMC9391060. |
| 12 |
C, , , , , , , , , ,
|
| 11 | Gandolfi D, Mapelli, J, Solinas S, De Schepper R, Geminiani A, Casellato C, D’Angelo E, Migliore M. A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Sci Rep 12, 13864 (2022). https://doi.org/10.1038/s41598-022-18024-y |
| 10 | D’Angelo E, Jirsa V. The quest for multiscale brain modeling. Trends Neurosci. 2022 Jul 26:S0166-2236(22)00125-4. doi: 10.1016/j.tins.2022.06.007. |
| 9 | Antonietti A, Geminiani A, Negri E, D’Angelo E, Casellato C, Pedrocchi A. Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System. Front Neurorobot. 2022 Jun 13;16:817948. doi: 10.3389/fnbot.2022.817948. PMID: 35770277; PMCID: PMC9234954. |
| 8 | Geminiani A, Mockevičius A, D’Angelo E, Casellato C. Cerebellum Involvement in Dystonia During Associative Motor Learning: Insights From a Data-Driven Spiking Network Model, Front. Syst. Neurosci., 16 June 2022 | https://doi.org/10.3389/fnsys.2022.919761 |
| 7 | Gandolfi D, Puglisi FM, Boiani GM, Pagnoni G, Friston KJ, D’Angelo E, Mapelli J. Emergence of associative learning in a neuromorphic inference network. J Neural Eng. 2022 May; 19(3). doi: 10.1088/1741-2552/ac6ca7 |
| 6 | Nigri A, Ferraro S, Gandini Wheeler-Kingshott CAM, Tosetti M, Redolfi A, Forloni G, D’Angelo E, Aquino D, Biagi L, Bosco P, Carne I, De Francesco S, Demichelis G, Gianeri R, Lagana MM, Micotti E, Napolitano A, Palesi F, Pirastru A, Savini G, Alberici E, Amato C, Arrigoni F, Baglio F, Bozzali M, Castellano A, Cavaliere C, Contarino VE, Ferrazzi G, Gaudino S, Marino S, Manzo V, Pavone L, Politi LS, Roccatagliata L, Rognone E, Rossi A, Tonon C, Lodi R, Tagliavini F, Bruzzone MG; RIN–Neuroimaging. Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network. Front Neurol. 2022 Apr 14;13:855125. doi: 10.3389/fneur.2022.855125. |
| 5 | Mapelli L. Soda S., D’Angelo E., Prestori F. The Cerebellar Involvement in Autism Spectrum Disorders: From the Social Brain to Mouse Models. Int. J. Mol. Sci. 2022, 23, 3894. https://doi.org/10.3390/ijms23073894 |
| 4 | Amunts K., Axer M., Bitsch L., Bjaalie J., Brovelli A., Caspers S., Costantini I., D’Angelo E., De Bonis G., DeFelipe J., Destexhe A., et al. The coming decade of digital brain research – A vision for neuroscience at the intersection of technology and computing
Live paper on Zenodo and on HBP website (11/03/2022) Please use a persistent id in citations: http://hdl.handle.net/2128/30880 doi:10.5281/ZENODO.6345821 |
| 3 |
Tognolina M., Monteverdi A., D’Angelo E. Discovering microcircuit secrets with multi-spot imaging and electrophysiological recordings: the example of cerebellar network dynamics, Frontiers in Cellular Neuroscience-Cellular Neurophysiology, 18 March 2022, https://doi.org/10.3389/fncel.2022.805670. |
| 2 |
Gagliano G., Monteverdi A., Casali S., Laforenza U., Gandini Wheeler-Kingshott CAM., D’Angelo E., Mapelli L. Non-Linear Frequency Dependence of Neurovascular Coupling in the Cerebellar Cortex Implies Vasodilation–Vasoconstriction Competition. Cells, Vol 11, n 6, art n 1047, 2022, https://www.mdpi.com/2073-4409/11/6/1047; https://doi.org/10.3390/cells11061047
|
| 1 |
De Schepper R., Abi Akar N., Hater T., Huisman BFB., D’Angelo E., Morrison A., Casellato C. Cross-comparison of state of the art neuromorphological simulators on modern CPUs and GPUs using the Brain Scaffold Builder. bioRxiv 2022.03.02.482285;
doi: https://doi.org/10.1101/2022.03.02.482285
|