Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)

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Accession:139656
" ... Previous one-dimensional network modeling of the cerebellar granular layer has been successfully linked with a range of cerebellar cortex oscillations observed in vivo. However, the recent discovery of gap junctions between Golgi cells (GoCs), which may cause oscillations by themselves, has raised the question of how gap-junction coupling affects GoC and granular-layer oscillations. To investigate this question, we developed a novel two-dimensional computational model of the GoC-granule cell (GC) circuit with and without gap junctions between GoCs. ..."
Reference:
1 . Simões de Souza F, De Schutter E (2011) Robustness effect of gap junctions between Golgi cells on cerebellar cortex oscillations Neural Systems & Circuits 1:7:1-19
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 interneuron granule GLU cell; Cerebellum golgi cell;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s): GabaA; AMPA; NMDA;
Gene(s): HCN1; HCN2;
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Synchronization; Action Potentials;
Implementer(s): Simoes-de-Souza, Fabio [fabio.souza at ufabc.edu.br];
Search NeuronDB for information about:  Cerebellum interneuron granule GLU cell; GabaA; AMPA; NMDA;
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network
data
README.txt
gap.mod
Golgi_BK.mod *
Golgi_Ca_HVA.mod *
Golgi_Ca_LVA.mod *
Golgi_CALC.mod *
Golgi_CALC_ca2.mod *
Golgi_hcn1.mod *
Golgi_hcn2.mod *
Golgi_KA.mod *
Golgi_KM.mod *
Golgi_KV.mod *
Golgi_lkg.mod *
Golgi_Na.mod *
Golgi_NaP.mod *
Golgi_NaR.mod *
Golgi_SK2.mod *
GRC_CA.mod *
GRC_CALC.mod *
GRC_KA.mod *
GRC_KCA.mod *
GRC_KIR.mod *
GRC_KM.mod *
GRC_KV.mod *
GRC_LKG1.mod *
GRC_LKG2.mod *
GRC_NA.mod *
K_conc.mod *
Na_conc.mod *
Golgi_ComPanel.hoc *
Golgi_template.hoc
granule_template.hoc
MF_template.hoc
mosinit.hoc
network.hoc
utils.hoc *
                            
/*******Cerebellar Golgi Cell Model **********

Developers:    Sergio Solinas & Egidio D'Angelo
Code contributors:  Thierry Neius, Shyam Diwakar, Lia Forti
Data Analysis: Sergio Solinas

Work Progress: April 2004 - May 2007

Developed At:  Università Degli Studi Di Pavia
	       Dipartimento Di Scienze Fisiologiche
	       Pavia - Italia
	       
Model Published in: 
             Sergio M. Solinas, Lia Forti, Elisabetta Cesana, 
             Jonathan Mapelli, Erik De Schutter and Egidio D`Angelo (2008)
             Computational reconstruction of pacemaking and intrinsic 
             electroresponsiveness in cerebellar golgi cells
             Frontiers in Cellular Neuroscience 2:2


********************************************/

objref dta, dta2

dta = new Vector () 
dta2 = new Vector ()

proc FR() {
  
  print "spike times (ms): "
  $o1.printf()
  dta.deriv($o1,1,1)
  print "In terspike intervals (ms): "
  dta.printf()
  dta2.resize(dta.size())
  dta2.fill(1000)
  dta2.div(dta)
  print "Inst. Firing rates (sp/s): "
  dta2.printf()
  print "  first ISI\t  Last ISI\tAdaptation\tMean rate\tCV-ISI\n"
  printf("\t%-5.2g\t\t%-5.2g\t\t%-5.2g\t\t%-5.2g\t%-5.2g\n", dta2.x[0], dta2.x[dta2.size()-1],dta2.x[dta2.size()-1]/dta2.x[0], 1000/dta.mean(), dta.stdev()/dta.mean())
}

proc PrintRates() {
    print "Control\tIh\tKM\tSK-bSK2\tHVA\tKA"
    $o1.getcol(9).printf
    $o1.getcol(1).div($o1.getcol(1).get(0)/100).sub(100).printf
}

func Cell_area() { local surf
    surf = 0
    forall { surf = surf + area(0.5)*nseg}
    return surf
}

proc Cell_Pass() { local cnm
    cnm = 0
    forall { cnm = cnm + area(0.5)*nseg*glbar_Golgi_lkg*1e-8}
    print "Resistance\t",1/cnm*1e-6," MOhm"
    cnm = 0
    forall { cnm = cnm + area(0.5)*nseg*cm*1e-8}
    print "Capacitance\t",cnm*1e6," pF"
}

proc FR_show() {
	FR(Golgi[0].SpikeTrain)
    }
    


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