Jonathan Mapelli
Affiliations: | University of Pavia, Pavia, PV, Italy |
Area:
Cerebellum, Granular layer, MEA, VSDWebsite:
http://www-1.unipv.it/dsffcm/pagine/labs/dangelo/jonathan.htmlGoogle:
"Jonathan Mapelli"Bio:
Jonathan Mapelli holds a specialisation degree in Physics (Milano) and a Phd in Physiological sciences (Pavia). He has worked on several techniques including single cell recordings: patch-clamp on cerebellar granule, Golgi, and deep nuclei cells. Currently he works mainly on MEA techniques on acute cerebellar slices in combination with VSD fast imaging.
Mean distance: 15.16 (cluster 6) | S | N | B | C | P |
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Publications
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| Tesler F, Lorenzi RM, Ponzi A, et al. (2024) Multiscale modeling of neuronal dynamics in hippocampus CA1. Frontiers in Computational Neuroscience. 18: 1432593 |
| Gandolfi D, Mapelli J, Solinas SMG, et al. (2023) Full-scale scaffold model of the human hippocampus CA1 area. Nature Computational Science. 3: 264-276 |
| Mapelli L, Mapelli J, Wicher D. (2023) Editorial: Insights in cellular neurophysiology: 2022. Frontiers in Cellular Neuroscience. 17: 1330849 |
| Gandolfi D, Puglisi FM, Serb A, et al. (2022) Editorial: Brain-inspired computing: Neuroscience drives the development of new electronics and artificial intelligence. Frontiers in Cellular Neuroscience. 16: 1115395 |
| Mapelli J, Boiani GM, D'Angelo E, et al. (2022) Long-Term Synaptic Plasticity Tunes the Gain of Information Channels through the Cerebellum Granular Layer. Biomedicines. 10 |
| Gandolfi D, Mapelli J, Solinas S, et al. (2022) Author Correction: A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Scientific Reports. 12: 19792 |
| Florini D, Gandolfi D, Mapelli J, et al. (2022) A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules. Ieee Transactions On Neural Networks and Learning Systems |
| Gandolfi D, Mapelli J, Solinas S, et al. (2022) A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Scientific Reports. 12: 13864 |
| Gandolfi D, Puglisi FM, Boiani GM, et al. (2022) Emergence of associative learning in a neuromorphic inference network. Journal of Neural Engineering |
| Gandolfi D, Pagnoni G, Filippini T, et al. (2021) Modeling Early Phases of COVID-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion. Frontiers in Public Health. 9: 724362 |