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Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
 
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Model Information
Model File
Citations
Accession:
150067
We tested the role of plasticity distributed over multiple synaptic sites (Hansel et al., 2001; Gao et al., 2012) by generating an analog cerebellar model embedded into a control loop connected to a robotic simulator. The robot used a three-joint arm and performed repetitive fast manipulations with different masses along an 8-shape trajectory. In accordance with biological evidence, the cerebellum model was endowed with both LTD and LTP at the PF-PC, MF-DCN and PC-DCN synapses. This resulted in a network scheme whose effectiveness was extended considerably compared to one including just PF-PC synaptic plasticity. Indeed, the system including distributed plasticity reliably self-adapted to manipulate different masses and to learn the arm-object dynamics over a time course that included fast learning and consolidation, along the lines of what has been observed in behavioral tests. In particular, PF-PC plasticity operated as a time correlator between the actual input state and the system error, while MF-DCN and PC-DCN plasticity played a key role in generating the gain controller. This model suggests that distributed synaptic plasticity allows generation of the complex learning properties of the cerebellum.
Reference:
1 .
Garrido JA, Luque NR, D'Angelo E, Ros E (2013) Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
Front. Neural Circuits
7:159
:1-20
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cerebellum;
Cell Type(s):
Cerebellum deep nucleus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
C or C++ program;
MATLAB;
Simulink;
Model Concept(s):
Long-term Synaptic Plasticity;
Implementer(s):
Garrido, Jesus A [jesus.garrido at unipv.it];
Luque, Niceto R. [nluque at ugr.es];
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Garridoetal2013
EDLUTAbstract
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readme.txt
accel.m
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EDLUTIcon.jpg
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EdLuTSimulink.mdl
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fRBFgausspeed1optimal.m
inverse.m
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LaunchSimulink.m
MANIPUL.mat
MANIPULDETERIORADO.mat
MANIPULDETERIORADO05.mat
MANIPULDETERIORADO1.mat
MANIPULDETERIORADO10.mat
MANIPULDETERIORADO15.mat
MANIPULDETERIORADO2.mat
MANIPULDETERIORADO25.mat
MANIPULDETERIORADO6.mat
Parametros.txt
Select.m
Thresh4refractarytime.m
ThreshMFsrefractarytime.m
Video3D.m
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