Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)

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Accession:144416
This paper proposes a hypothetical computational mechanism for unified gain and timing control in the cerebellum. The hypothesis is justified by computer simulations of a large-scale spiking network model of the cerebellum.
References:
1 . Yamazaki T, Tanaka S (2007) A spiking network model for passage-of-time representation in the cerebellum. Eur J Neurosci 26:2279-92 [PubMed]
2 . Yamazaki T, Nagao S (2012) A computational mechanism for unified gain and timing control in the cerebellum. PLoS One 7:e33319 [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 Purkinje GABA cell; Cerebellum interneuron granule GLU cell; Cerebellum golgi cell; Cerebellum deep nucleus neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program;
Model Concept(s): Spatio-temporal Activity Patterns; Detailed Neuronal Models; Learning; Sensory processing;
Implementer(s): Yamazaki, Tadashi ;
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell;
set size square

set xtics 0.5
set ytics 20

f1(x) = a1*cos(2*3.14*(x+b1)/2.0)+c1
f2(x) = a2*cos(2*3.14*(x+b2)/2.0)+c2
f3(x) = a3*cos(2*3.14*(x+b3)/2.0)+c3
f4(x) = a4*cos(2*3.14*(x+b4)/2.0)+c4

fit f1(x) '10_16.dat' via a1,b1,c1
fit f2(x) '100_16.dat' via a2,b2,c2
fit f3(x) '200_16.dat' via a3,b3,c3
fit f4(x) '300_16.dat' via a4,b4,c4

plot [0:2][0:130] '10_16.dat' t '' w p, '100_16.dat' t '' w p, '200_16.dat' t '' w p, '300_16.dat' t '' w p, f1(x) t '1st' w l, f2(x) t '100th' w l, f3(x) t '200th' w l, f4(x) t '300th' w l

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