Solinas S - Search Results

1

Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits.

Gleeson P, Cantarelli M, Marin B, Quintana A, Earnshaw M, Sadeh S, Piasini E, Birgiolas J, Cannon RC, Cayco-Gajic NA, Crook S, Davison AP, Dura-Bernal S, Ecker A, Hines ML, Idili G, Lanore F, Larson SD, Lytton WW, Majumdar A, McDougal RA, Sivagnanam S, Solinas S, Stanislovas R, van Albada SJ, van Geit W, Silver RA. Gleeson P, et al. Among authors: solinas s. Neuron. 2019 Aug 7;103(3):395-411.e5. doi: 10.1016/j.neuron.2019.05.019. Epub 2019 Jun 11. Neuron. 2019. PMID: 31201122 Free PMC article.

2

A kinetic model for Brain-Derived Neurotrophic Factor mediated spike timing-dependent LTP.

Solinas SMG, Edelmann E, Leßmann V, Migliore M. Solinas SMG, et al. PLoS Comput Biol. 2019 Apr 24;15(4):e1006975. doi: 10.1371/journal.pcbi.1006975. eCollection 2019 Apr. PLoS Comput Biol. 2019. PMID: 31017891 Free PMC article.

3

Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control.

Diwakar S, Lombardo P, Solinas S, Naldi G, D'Angelo E. Diwakar S, et al. Among authors: solinas s. PLoS One. 2011;6(7):e21928. doi: 10.1371/journal.pone.0021928. Epub 2011 Jul 19. PLoS One. 2011. PMID: 21818278 Free PMC article.

4

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors.

Büchel J, Zendrikov D, Solinas S, Indiveri G, Muir DR. Büchel J, et al. Among authors: solinas s. Sci Rep. 2021 Dec 3;11(1):23376. doi: 10.1038/s41598-021-02779-x. Sci Rep. 2021. PMID: 34862429 Free PMC article.

5

A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.

Gandolfi D, Mapelli J, Solinas S, De Schepper R, Geminiani A, Casellato C, D'Angelo E, Migliore M. Gandolfi D, et al. Among authors: solinas s. Sci Rep. 2022 Aug 16;12(1):13864. doi: 10.1038/s41598-022-18024-y. Sci Rep. 2022. PMID: 35974119 Free PMC article.

6

Realistic modeling of neurons and networks: towards brain simulation.

D'Angelo E, Solinas S, Garrido J, Casellato C, Pedrocchi A, Mapelli J, Gandolfi D, Prestori F. D'Angelo E, et al. Among authors: solinas s. Funct Neurol. 2013 Jul-Sep;28(3):153-66. Funct Neurol. 2013. PMID: 24139652 Free PMC article. Review.

7

Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar Golgi cells.

Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E. Solinas S, et al. Front Cell Neurosci. 2007 Dec 30;1:2. doi: 10.3389/neuro.03.002.2007. eCollection 2007. Front Cell Neurosci. 2007. PMID: 18946520 Free PMC article.

8

Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: simulations of their impact in vivo.

Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E. Solinas S, et al. Front Cell Neurosci. 2007 Dec 30;1:4. doi: 10.3389/neuro.03.004.2007. eCollection 2007. Front Cell Neurosci. 2007. PMID: 18946522 Free PMC article.

9

Timing in the cerebellum: oscillations and resonance in the granular layer.

D'Angelo E, Koekkoek SK, Lombardo P, Solinas S, Ros E, Garrido J, Schonewille M, De Zeeuw CI. D'Angelo E, et al. Among authors: solinas s. Neuroscience. 2009 Sep 1;162(3):805-15. doi: 10.1016/j.neuroscience.2009.01.048. Epub 2009 Jan 31. Neuroscience. 2009. PMID: 19409229

10

A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.

Solinas S, Nieus T, D'Angelo E. Solinas S, et al. Front Cell Neurosci. 2010 May 14;4:12. doi: 10.3389/fncel.2010.00012. eCollection 2010. Front Cell Neurosci. 2010. PMID: 20508743 Free PMC article.

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