Code for simulations of cerebellar Spiking Neural Networks using the NEST simulator and the E-GLIF point neuron model, as described in Geminiani et al., Front Neuroinform, 2018; Geminiani et al., Front Comput Neurosci, 2019a, b.
Specifically:
- folder
eglif_module
contains source C++ NEST code for the module installation and usage in PyNEST (refer to https://github.com/dbbs-lab/cereb-nest for the last version of the module with also additional cerebellum-specific NEST models). - folder
optimMATLAB
contains MATLAB (version R2015b) code for optimization of E-GLIF neuron parameters. - folder
single_neu_simulations
contains PyNEST code for simulations of a single neuron activity and the corresponding MATLAB code to extract quantitative information and plots. - folder
olivocereb_scaffold_simulations
contains PyNEST code for simulations of an olivocerebellar spiking neural networks with E-GLIF point neurons, providing sensory stimuli typical of eyeblink classical conditioning, a cerebellum-driven task.
Compatible with NEST2.18.