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;
#!/usr/bin/ruby

initial = true
initial_modulation = 1.0
open("gainchange.dat", "w"){|o|
  (10..300).step(10){|i|
    system "./psth.rb #{i} 16"
    fn = "#{i}_16.dat"
    system "cp #{fn} tmp; gnuplot fit.gp > tmp.dat 2>&1"
    IO.foreach("tmp.dat"){|l|
      if l =~ /\A\s+a = /
        modulation = l.gsub(/\A\s+a = /, "").gsub(/\s+\Z/, "").to_f.abs
        if initial
          initial_modulation = modulation
          initial = false
        end
        o.puts "#{i} #{modulation/initial_modulation}"
      end
    }
  }
}
system "rm -f tmp tmp.dat"

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