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.
Release files for dbbs-models 6.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbbs_models-6.0.0.tar.gz | 364.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dbbs_models-6.0.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 733.1 kB
Release files / dbbs_models-6.0.0.tar.gz
| Download URL | dbbs_models-6.0.0.tar.gz |
|---|---|
| Size | 364.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.11
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Release files / dbbs_models-6.0.0-py2.py3-none-any.whl
| Download URL | dbbs_models-6.0.0-py2.py3-none-any.whl |
|---|---|
| Size | 368.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
5d737c1ae3cb221acac274d52af426590dedd7c34c5bf2103726ef3d23c3628d
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fbce019afae45a128aa21656888862eee0fe1abd6d4647bb6a0e4e60f9d86aa9
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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