Metadata-Version: 2.1
Name: dbbs-models
Version: 4.0.0a0
Summary: Collection of neuron models for the NEURON simulator
Home-page: https://github.com/dbbs-lab/models
Author: Martina Rizza, Stefano Masoli, Robin De Schepper, Egidio D'Angelo
Author-email: robingilbert.deschepper@unipv.it
License: GPLv3
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

# 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 Dâ€™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 Dâ€™Angelo, E. (2020). Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity. PLoS Comput. Biol. 16, 1â€“27. doi:10.1371/journal.pcbi.1007937.


## Stellate cell model

Rizza, M. F., Locatelli, F., Masoli, S., SÃ¡nchez-Ponce, D., MuÃ±oz, 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 Dâ€™Angelo, E. (2015). Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization. Front. Cell. Neurosci. 9, 1â€“22. doi:10.3389/fncel.2015.00047.

Masoli, S., and Dâ€™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, 1â€“18. doi:10.3389/fncel.2017.00278.
