Advanced search
SenseLab
SimToolDB
ModelDB Help
User account
Login
Register
Find models by
Model name
First author
Each author
Region(circuits)
Find models for
Cell type
Current
Receptor
Gene
Transmitters
Concept
Simulators
Methods
Find models of
Realistic Networks
Neurons
Electrical synapses (gap junctions)
Chemical synapses
Ion channels
Neuromuscular junctions
Axons
Pathophysiology
Other resources
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
ModelDB is moving. Check out our new site at
https://modeldb.science
.
The corresponding page is
https://modeldb.science/239421
.
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
 
Download zip file
Help downloading and running models
Model Information
Model File
Citations
Versions on GitHub
Accession:
239421
"The dendritic processing in cerebellar Purkinje cells (PCs), which integrate synaptic inputs coming from hundreds of thousands granule cells and molecular layer interneurons, is still unclear. Here we have tested a leading hypothesis maintaining that the significant PC output code is represented by burst-pause responses (BPRs), by simulating PC responses in a biophysically detailed model that allowed to systematically explore a broad range of input patterns. BPRs were generated by input bursts and were more prominent in Zebrin positive than Zebrin negative (Z+ and Z-) PCs. Different combinations of parallel fiber and molecular layer interneuron synapses explained type I, II and III responses observed in vivo. BPRs were generated intrinsically by Ca-dependent K channel activation in the somato-dendritic compartment and the pause was reinforced by molecular layer interneuron inhibition. BPRs faithfully reported the duration and intensity of synaptic inputs, such that synaptic conductance tuned the number of spikes and release probability tuned their regularity in the millisecond range. ..."
Reference:
1 .
Masoli S, 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
:278
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Synapse;
Brain Region(s)/Organism:
Cerebellum;
Cell Type(s):
Cerebellum Purkinje GABA cell;
Channel(s):
I Potassium;
I K,Ca;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Detailed Neuronal Models;
Bursting;
Implementer(s):
Masoli, Stefano [stefano.masoli at unipv.it];
Search NeuronDB
for information about:
Cerebellum Purkinje GABA cell
;
I K,Ca
;
I Potassium
;
/
Purkinjecell_2017
File not selected
<- Select file from this column.
Loading data, please wait...