semvec/pypi-packages huggingface dataset:
dbbs-models 6.0.0
Collection of single cell models for the Arbor and NEURON simulators of the cerebellar

# dbbs-models
Collection of neuron models for the NEURON simulator.

# Citations

If you use our models for any scientific works you're required to cite the following papers:

## Granule cell model

Masoli, S., Tognolina, M., Laforenza, U., Moccia, F., and D’Angelo, E. (2020). Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage. Commun. Biol. 3, 222. doi:10.1038/s42003-020-0953-x.


## Golgi cell model

Masoli, S., Ottaviani, A., Casali, S., and D’Angelo, E. (2020). Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity. PLoS Comput. Biol. 16, 1–27. doi:10.1371/journal.pcbi.1007937.


## Stellate cell model

Rizza, M. F., Locatelli, F., Masoli, S., Sánchez-Ponce, D., Muñoz, A., Prestori, F., et al. (2021). Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum. Sci. Rep. 11, 3873. doi:10.1038/s41598-021-83209-w.


## Purkinje cell model

Masoli, S., Solinas, S., and D’Angelo, E. (2015). Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Front. Cell. Neurosci. 9, 1–22. doi:10.3389/fncel.2015.00047.

Masoli, S., and D’Angelo, E. (2017). Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites. Front. Cell. Neurosci. 11, 1–18. doi:10.3389/fncel.2017.00278.