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Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
 
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Model Information
Model File
Citations
Accession:
261616
The model represents learning and reversal tasks and shows performance in control, Parkinsonian and Huntington disease conditions
Reference:
1 .
Mulcahy G, Atwood B, Kuznetsov A (2020) Basal ganglia role in learning rewarded actions and executing previously learned choices: Healthy and diseased states.
PLoS One
15
:e0228081
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Connectionist Network;
Brain Region(s)/Organism:
Prefrontal cortex (PFC);
Basal ganglia;
Cell Type(s):
Abstract rate-based neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB;
Model Concept(s):
Rate-coding model neurons;
Parkinson's;
Activity Patterns;
Learning;
Deep brain stimulation;
Oscillations;
Action Selection/Decision Making;
Huntington's;
Implementer(s):
Download the displayed file
/
MulcahyEtAl2020
images
readme.html
D1_MSN.m
D2_MSN.m
GPe_neuron.m
GPi_neuron.m
HealthyBG.m
HuntingtonsModel.m
ParkinsonsModel.m
parkSNc_neuron.m
PFC_neuron.m
PMC_neuron.m
SNc_neuron.m
STN_neuron.m
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