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Cerebellar memory consolidation model (Yamazaki et al. 2015)
 
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Model Information
Model File
Accession:
180823
"Long-term depression (LTD) at parallel fiber-Purkinje cell (PF-PC) synapses is thought to underlie memory formation in cerebellar motor learning. Recent experimental results, however, suggest that multiple plasticity mechanisms in the cerebellar cortex and cerebellar/vestibular nuclei participate in memory formation. To examine this possibility, we formulated a simple model of the cerebellum with a minimal number of components based on its known anatomy and physiology, implementing both LTD and long-term potentiation (LTP) at PF-PC synapses and mossy fiber-vestibular nuclear neuron (MF-VN) synapses. With this model, we conducted a simulation study of the gain adaptation of optokinetic response (OKR) eye movement. Our model reproduced several important aspects of previously reported experimental results in wild-type and cerebellum-related gene-manipulated mice. ..."
Reference:
1 .
Yamazaki T, Nagao S, Lennon W, Tanaka S (2015) Modeling memory consolidation during posttraining periods in cerebellovestibular learning.
Proc Natl Acad Sci U S A
112
:3541-6
[
PubMed
]
Citations
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Model Information
(Click on a link to find other models with that property)
Model Type:
Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s):
Cerebellum Purkinje GABA cell;
Cerebellum deep nucleus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
C or C++ program;
Model Concept(s):
Simplified Models;
Synaptic Plasticity;
Long-term Synaptic Plasticity;
Hebbian plasticity;
Implementer(s):
Yamazaki, Tadashi ;
Search NeuronDB
for information about:
Cerebellum Purkinje GABA cell
;
/
pnas_src
README.md
func.c
main.c
Makefile
param.h
*
Other models using param.h:
Cerebellar memory consolidation model (Yamazaki et al. 2015)
param.h.dist
*
Other models using param.h.dist:
Cerebellar memory consolidation model (Yamazaki et al. 2015)
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