Year |
Citation |
Score |
2023 |
Marasco A, Spera E, De Falco V, Iuorio A, Lupascu CA, Solinas S, Migliore M. An Adaptive Generalized Leaky Integrate-and-Fire Model for Hippocampal CA1 Pyramidal Neurons and Interneurons. Bulletin of Mathematical Biology. 85: 109. PMID 37792146 DOI: 10.1007/s11538-023-01206-8 |
0.363 |
|
2022 |
Gandolfi D, Mapelli J, Solinas S, De Schepper R, Geminiani A, Casellato C, D'Angelo E, Migliore M. Author Correction: A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Scientific Reports. 12: 19792. PMID 36396853 DOI: 10.1038/s41598-022-23710-y |
0.75 |
|
2022 |
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. Scientific Reports. 12: 13864. PMID 35974119 DOI: 10.1038/s41598-022-18024-y |
0.773 |
|
2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Solinas S, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.655 |
|
2016 |
Dover K, Marra C, Solinas S, Popovic M, Subramaniyam S, Zecevic D, D'Angelo E, Goldfarb M. FHF-independent conduction of action potentials along the leak-resistant cerebellar granule cell axon. Nature Communications. 7: 12895. PMID 27666389 DOI: 10.1038/Ncomms12895 |
0.719 |
|
2016 |
Cattani A, Solinas S, Canuto C. A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer Frontiers in Computational Neuroscience. 10: 30-30. PMID 27148027 DOI: 10.3389/Fncom.2016.00030 |
0.431 |
|
2016 |
Mapelli L, Solinas S, D'Angelo E. Corrigendum: Integration and regulation of glomerular inhibition in the cerebellar granular layer circuit. Frontiers in Cellular Neuroscience. 10: 31. PMID 26909024 DOI: 10.3389/Fncel.2016.00031 |
0.691 |
|
2015 |
Masoli S, Solinas S, D'Angelo E. Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Frontiers in Cellular Neuroscience. 9: 47. PMID 25759640 DOI: 10.3389/fncel.2015.00047 |
0.607 |
|
2014 |
Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J. Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Frontiers in Cellular Neuroscience. 8: 304. PMID 25352777 DOI: 10.3389/fncel.2014.00304 |
0.625 |
|
2014 |
Subramaniyam S, Solinas S, Perin P, Locatelli F, Masetto S, D'Angelo E. Computational modeling predicts the ionic mechanism of late-onset responses in unipolar brush cells. Frontiers in Cellular Neuroscience. 8: 237. PMID 25191224 DOI: 10.3389/Fncel.2014.00237 |
0.773 |
|
2014 |
Mapelli L, Solinas S, D'Angelo E. Integration and regulation of glomerular inhibition in the cerebellar granular layer circuit. Frontiers in Cellular Neuroscience. 8: 55. PMID 24616663 DOI: 10.3389/Fncel.2014.00055 |
0.725 |
|
2013 |
D'Angelo E, Solinas S, Garrido J, Casellato C, Pedrocchi A, Mapelli J, Gandolfi D, Prestori F. Realistic modeling of neurons and networks: towards brain simulation. Functional Neurology. 28: 153-66. PMID 24139652 DOI: 10.11138/Fneur/2013.28.3.153 |
0.751 |
|
2013 |
D'Angelo E, Solinas S, Mapelli J, Gandolfi D, Mapelli L, Prestori F. The cerebellar Golgi cell and spatiotemporal organization of granular layer activity. Frontiers in Neural Circuits. 7: 93. PMID 23730271 DOI: 10.3389/Fncir.2013.00093 |
0.781 |
|
2013 |
Gandolfi D, Lombardo P, Mapelli J, Solinas S, D'Angelo E. θ-Frequency resonance at the cerebellum input stage improves spike timing on the millisecond time-scale. Frontiers in Neural Circuits. 7: 64. PMID 23596398 DOI: 10.3389/fncir.2013.00064 |
0.788 |
|
2013 |
Solinas S, Colnaghi T, D'Angelo E. Ensemble neuronal responses in a large-scale realistic model of the cerebellar cortex Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P82 |
0.667 |
|
2013 |
Masoli S, Solinas S, D'Angelo E. The intrinsic and synaptic responsiveness of a new realistic Purkinje cell model Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P80 |
0.633 |
|
2013 |
Subramaniyam S, Perin P, Locatelli F, Masetto S, Solinas S, D'Angelo E. The mechanisms of late-onset synaptic responses in a realistic model of Unipolar Brush Cells Bmc Neuroscience. 14: P79. DOI: 10.1186/1471-2202-14-S1-P79 |
0.787 |
|
2012 |
Gleeson P, Piasini E, Crook S, Cannon R, Steuber V, Jaeger D, Solinas S, D’Angelo E, Silver RA. The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-O7 |
0.412 |
|
2011 |
Diwakar S, Lombardo P, Solinas S, Naldi G, D'Angelo E. Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control. Plos One. 6: e21928. PMID 21818278 DOI: 10.1371/journal.pone.0021928 |
0.79 |
|
2011 |
D'Angelo E, Mazzarello P, Prestori F, Mapelli J, Solinas S, Lombardo P, Cesana E, Gandolfi D, Congi L. The cerebellar network: from structure to function and dynamics. Brain Research Reviews. 66: 5-15. PMID 20950649 DOI: 10.1016/j.brainresrev.2010.10.002 |
0.74 |
|
2011 |
Subramaniyam S, Perin P, Solinas S, D’Angelo E. Modeling UBC intrinsic excitability Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P322 |
0.744 |
|
2011 |
D'Angelo E, Solinas S. Realistic modeling of large-scale networks: Spatio-temporal dynamics and long-term synaptic plasticity in the cerebellum Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6691: 547-553. DOI: 10.1007/978-3-642-21501-8_68 |
0.505 |
|
2010 |
Dover K, Solinas S, D'Angelo E, Goldfarb M. Long-term inactivation particle for voltage-gated sodium channels. The Journal of Physiology. 588: 3695-711. PMID 20679355 DOI: 10.1113/jphysiol.2010.192559 |
0.487 |
|
2010 |
Solinas S, Nieus T, D'Angelo E. A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties. Frontiers in Cellular Neuroscience. 4: 12. PMID 20508743 DOI: 10.3389/fncel.2010.00012 |
0.633 |
|
2010 |
Solinas S, Nieus T, Crotta F, Masoli S, D’Angelo E. Realistic circuit modeling: large-scale simulations of the cerebellar granular layer Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P117 |
0.54 |
|
2010 |
D'Angelo E, Solinas S, Ros E, Garrido J, Jörntell H, Van Der Smagt P. Complex dynamics in the granual layer of the cerebellum: Large-scale computational reconstructions 4th International Conference On Cognitive Systems, Cogsys 2010. |
0.607 |
|
2009 |
D'Angelo E, Koekkoek SK, Lombardo P, Solinas S, Ros E, Garrido J, Schonewille M, De Zeeuw CI. Timing in the cerebellum: oscillations and resonance in the granular layer. Neuroscience. 162: 805-15. PMID 19409229 DOI: 10.1016/J.Neuroscience.2009.01.048 |
0.766 |
|
2007 |
Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E. Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: simulations of their impact in vivo. Frontiers in Cellular Neuroscience. 1: 4. PMID 18946522 DOI: 10.3389/neuro.03.004.2007 |
0.788 |
|
2007 |
Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E. Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar Golgi cells. Frontiers in Cellular Neuroscience. 1: 2. PMID 18946520 DOI: 10.3389/neuro.03.002.2007 |
0.77 |
|
2006 |
Solinas SM, Maex R, De Schutter E. Dendritic amplification of inhibitory postsynaptic potentials in a model Purkinje cell. The European Journal of Neuroscience. 23: 1207-18. PMID 16553783 DOI: 10.1111/J.1460-9568.2005.04564.X |
0.481 |
|
2003 |
Solinas S, Maex R, De Schutter E. Synchronization of Purkinje cell pairs along the parallel fiber axis: A model Neurocomputing. 52: 97-102. DOI: 10.1016/S0925-2312(02)00846-9 |
0.425 |
|
2001 |
Solinas S, Hertz J. Stability of asynchronous firing states in networks with synaptic adaptation Neurocomputing. 38: 915-920. DOI: 10.1016/S0925-2312(01)00425-8 |
0.399 |
|
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