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Cerebellar Golgi cells, dendritic processing, and synaptic plasticity (Masoli et al 2020)
 
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Model Information
Model File
Citations
Accession:
266806
The Golgi cells are the main inhibitory interneurons of the cerebellar granular layer. To study the mechanisms through which these neurons integrate complex input patterns, a new set of models were developed using the latest experimental information and a genetic algorithm approach to fit the maximum ionic channel conductances. The models faithfully reproduced a rich pattern of electrophysiological and pharmacological properties and predicted the operating mechanisms of these neurons.
Reference:
1 .
Masoli S, Ottaviani A, Casali S, D'Angelo E (2020) Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity.
PLoS Comput Biol
16
:e1007937
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cerebellum;
Cell Type(s):
Cerebellum golgi cell;
Channel(s):
I Sodium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Action Potential Initiation;
Neurotransmitter dynamics;
Calcium dynamics;
Implementer(s):
Masoli, Stefano [stefano.masoli at unipv.it];
Search NeuronDB
for information about:
I Sodium
;
/
Golgi_cell_2020
Morphology_2
mod_files
morphology
protocols
Golgi2020_morpho_2.py
Optimization_result.txt
Synapses.py
*
Other models using Synapses.py:
Cerebellar Golgi cells, dendritic processing, and synaptic plasticity (Masoli et al 2020)
vm.ses
*
Other models using vm.ses:
A detailed Purkinje cell model (Masoli et al 2015)
Cerebellar Golgi cells, dendritic processing, and synaptic plasticity (Masoli et al 2020)
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
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