| Modeling the cerebellar microcircuit: new strategies for a long-standing issue E D’Angelo, A Antonietti, S Casali, C Casellato, JA Garrido, NR Luque, ... Frontiers in cellular neuroscience 10, 176, 2016 | 88 | 2016 |
| Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization S Masoli, S Solinas, E D'Angelo Frontiers in Cellular Neuroscience 9, 47, 2015 | 79 | 2015 |
| Single neuron optimization as a basis for accurate biophysical modeling: the case of cerebellar granule cells S Masoli, MF Rizza, M Sgritta, W Van Geit, F Schürmann, E D'Angelo Frontiers in cellular neuroscience 11, 71, 2017 | 47 | 2017 |
| Synaptic activation of a detailed purkinje cell model predicts voltage-dependent control of burst-pause responses in active dendrites S Masoli, E D’Angelo Frontiers in cellular neuroscience 11, 278, 2017 | 42 | 2017 |
| Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage S Masoli, M Tognolina, U Laforenza, F Moccia, E D’Angelo Communications biology 3 (1), 222, 2020 | 33 | 2020 |
| Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity S Masoli, A Ottaviani, S Casali, E D’Angelo PLOS Computational Biology 16 (12), e1007937, 2020 | 27 | 2020 |
| The human brain project: parallel technologies for biologically accurate simulation of granule cells G Florimbi, E Torti, S Masoli, E D'Angelo, G Danese, F Leporati Microprocessors and Microsystems 47, 303-313, 2016 | 23 | 2016 |
| Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit R De Schepper, A Geminiani, S Masoli, MF Rizza, A Antonietti, ... Communications Biology 5 (1), 1240, 2022 | 21 | 2022 |
| Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum MF Rizza, F Locatelli, S Masoli, D Sánchez-Ponce, A Muñoz, F Prestori, ... Scientific Reports 11 (1), 3873, 2021 | 21 | 2021 |
| Scaffold modelling captures the structure-function-dynamics relationship in brain microcircuits RD Schepper, A Geminiani, S Masoli, MF Rizza, A Antonietti, C Casellato, ... BioRxiv, 2021.07. 30.454314, 2021 | 14 | 2021 |
| The human brain project: high performance computing for brain cells HW/SW simulation and understanding E D'Angelo, G Danese, G Florimbi, F Leporati, A Majani, S Masoli, ... 2015 Euromicro Conference on Digital System Design, 740-747, 2015 | 14 | 2015 |
| Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity S Masoli, D Sanchez-Ponce, N Vrieler, K Abu-Haya, V Lerner, T Shahar, ... Communications Biology 7 (1), 5, 2024 | 7 | 2024 |
| Granular layer simulator: Design and multi-GPU simulation of the cerebellar granular layer G Florimbi, E Torti, S Masoli, E D'Angelo, F Leporati Frontiers in computational neuroscience 15, 630795, 2021 | 7 | 2021 |
| 26th annual computational neuroscience meeting (CNS* 2017): Part 3 AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ... BMC Neuroscience 18, 1-82, 2017 | 5 | 2017 |
| High-Voltage-Activated Calcium Channels. SMG Solinas, S Masoli, S Subramaniyam, D Jaeger, R Jung Encyclopedia of Computational Neuroscience, 1-7, 2014 | 5 | 2014 |
| Parameter tuning differentiates granule cell subtypes enriching the repertoire of retransmission properties at the cerebellum input stage S Masoli, M Tognolina, U Laforenza, F Moccia, E D’Angelo bioRxiv, 638247, 2019 | 4 | 2019 |
| Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells G Florimbi, E Torti, S Masoli, E D’Angelo, G Danese, F Leporati Journal of Parallel and Distributed Computing 126, 48-66, 2019 | 4 | 2019 |
| GPU parallelization of realistic Purkinje cells with complex morphology E Torti, S Masoli, G Florimbi, E D'Angelo, M Ticli, F Leporati 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 4 | 2019 |
| Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation S Masoli, MF Rizza, M Tognolina, F Prestori, E D’Angelo Frontiers in Computational Neuroscience 16, 1006989, 2022 | 3 | 2022 |
| Single-neuron and network computation in realistic models of the cerebellar cortex E D’Angelo, S Masoli, M Rizza, S Casali The Neuronal Codes of the Cerebellum, 239-260, 2016 | 3 | 2016 |
