Cerebellar Golgi cell (Solinas et al. 2007a, 2007b)

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Accession:112685
"... Our results suggest that a complex complement of ionic mechanisms is needed to fine-tune separate aspects of the neuronal response dynamics. Simulations also suggest that the Golgi cell may exploit these mechanisms to obtain a fine regulation of timing of incoming mossy fiber responses and granular layer circuit oscillation and bursting."
References:
1 . Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E (2007) Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar golgi cells. Front. Cell. Neurosci. 1:2:1-12 [PubMed]
2 . Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E (2007) Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: Simulations of their impact in vivo. Front. Cell. Neurosci. 1:4:1-9 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum golgi cell;
Channel(s): I Na,p; I Na,t; I T low threshold; I A; I K; I M; I K,Ca; I Sodium; I Calcium; I Potassium; I h;
Gap Junctions:
Receptor(s):
Gene(s): HCN1;
Transmitter(s):
Simulation Environment: NEURON; neuroConstruct (web link to model);
Model Concept(s): Activity Patterns; Oscillations;
Implementer(s): D'Angelo, Egidio [dangelo at unipv.it]; De Schutter, Erik [erik at oist.jp];
Search NeuronDB for information about:  I Na,p; I Na,t; I T low threshold; I A; I K; I M; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
Files displayed below are from the implementation
/
Golgi_cell
sessions
readme.html
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 *
Pregen.mod *
Synapse.mod *
Channel_dynamics.hoc *
Golgi_ComPanel.hoc *
Golgi_count.txt
Golgi_template.hoc
mosinit.hoc
Save_data.hoc *
screenshot.jpg
Start_golgi.hoc
Synapses.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 trace, filename
strdef sys_comm

// Append a string to a text file
proc name2file() {
    filename = new File()
    filename.aopen($s1)
    filename.printf("%s\n",$s2)
    filename.close()
}

// Write a two column matrix to file
proc tr2file() { 
    filename = new File()
    filename.wopen($s1)
    trace = new Matrix($o2.size(),2)
    trace.setcol(0,$o2)
    trace.setcol(1,$o3)
    trace.fprint(filename,"%g\t")
    filename.close()
    sprint(sys_comm,"~/bin/flrm.sh %s",$s1)
    system(sys_comm)
}

// Write a spike train vector to file
proc spt2file() { 
    filename = new File()
    filename.wopen($s1)
    $o2.printf(filename)
    filename.close()
    sprint(sys_comm,"~/bin/flrm.sh %s",$s1)
    system(sys_comm)
}

// Write a matrix to file
proc SaveRates() {
    filename = new File()
    filename.wopen($s1)
    trace = new Matrix(3,$o2.getcol(1).size())
    trace.setrow(0,$o2.getcol(1))
    trace.setrow(1,$o2.getcol(1).div($o2.getcol(1).get(0)/100).sub(100))
    trace.setrow(2,$o2.getcol(9))
    trace.fprint(filename,"%-4.1f\t")
    filename.close($s1)
    sprint(sys_comm,"~/bin/flrm.sh %s",$s1)
    system(sys_comm)
}

// Read from file Golgi_count.txt the simulation index
// and write the index+1
func cplus() { local cnt
    
    filename = new File()
    strdef countfile
    countfile = "Golgi_count.txt"
    filename.ropen(countfile)
    if (!filename.isopen()) {
	system("echo 0 > Golgi_count.txt")
	filename.ropen(countfile)
    }
    cnt = filename.scanvar()
    filename.ropen(countfile)
    filename.close()
    filename.wopen(countfile)
    cnt =cnt+1
    filename.printf("%f",cnt)
    filename.close()    
    print "Simulation number : ",cnt
    return cnt
    }

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