|The Brain Simulation Platform "Live Papers"|
Authors: Alice Geminiani 1,2, Alessandra Pedrocchi 2, Egidio D'Angelo 1,3, Claudia Casellato 1
Author information: 1 Department of Brain and Behavioral Sciences, University of Pavia, Via Forlanini 6, I-27100, Pavia, Italy, 2 NEARLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, via Ponzio, 34, 20133, Milan, Italy, 3 Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy,
Corresponding authors: Alice Geminiani ( email@example.com )
Citation: Geminiani A, Pedrocchi A, D’Angelo E and Casellato C (2019) Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties. Front. Comput. Neurosci. 13:68.
Data and models: all data and models used in the paper are available at the links reported below, grouped into the following categories:
The source code, used for the simulations described in paper, can be accessed and downloaded at the following github link.
Please refer to the README file of the github repository for more details.
The simulations of the olivocerebellar microcircuit presented in the paper, are available among the
Online Use Cases, in a python Jupyter Notebook.
Select the "Cerebellum" panel in the "Brain Area Circuit In Silico Experiments" item of the Online Use Cases. Successively, click on the "Functional Simulation with Advanced Point Neurons (E-GLIF)" panel and follow the instructions to run the Jupyter Notebook.
Please refer to the python code and the inline comments in the notebook, for details on how to reproduce raster plots and spike histograms reported in Figs. 2 to 7 of the paper, for glomeruli, Granule cells, Golgi cells, Purkinje cells, Molecular Layer Interneurons and Deep Cerebellar Nuclei neurons.