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Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)

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Accession:146949
"... We developed a computational model based primarily on a unified set of brain activity mapping studies of mouse M1. The simulation consisted of 775 spiking neurons of 10 cell types with detailed population-to-population connectivity. Static analysis of connectivity with graph-theoretic tools revealed that the corticostriatal population showed strong centrality, suggesting that would provide a network hub. ... By demonstrating the effectiveness of combined static and dynamic analysis, our results show how static brain maps can be related to the results of brain activity mapping."
Reference:
1 . Chadderdon GL, Mohan A, Suter BA, Neymotin SA, Kerr CC, Francis JT, Shepherd GM, Lytton WW (2014) Motor cortex microcircuit simulation based on brain activity mapping. Neural Comput 26:1239-62 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex M1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s):
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Laminar Connectivity;
Implementer(s): Lytton, William [bill.lytton at downstate.edu]; Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org]; Shepherd, Gordon MG [g-shepherd at northwestern.edu]; Chadderdon, George [gchadder3 at gmail.com]; Kerr, Cliff [cliffk at neurosim.downstate.edu];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; Neocortex M1 L2/6 pyramidal intratelencephalic GLU cell; GabaA; AMPA; NMDA; Gaba; Glutamate;
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src
README
infot.mod *
intf6.mod *
intfsw.mod *
matrix.mod
misc.mod *
nstim.mod *
staley.mod *
stats.mod *
vecst.mod *
boxes.hoc *
col.hoc
declist.hoc *
decmat.hoc *
decnqs.hoc *
decvec.hoc *
default.hoc *
drline.hoc *
filtutils.hoc *
gcelldata.hoc
gmgs102.nqs
grvec.hoc *
infot.hoc *
init.hoc
intfsw.hoc *
labels.hoc *
load.py
local.hoc *
main.hoc
misc.h *
miscfuncs.py
network.hoc
neuroplot.py *
nload.hoc
nqs.hoc *
nqsnet.hoc
nrnoc.hoc *
params.hoc
run.hoc
samutils.hoc *
saveoutput.hoc
saveweights.hoc
setup.hoc *
simctrl.hoc *
spkts.hoc *
staley.hoc *
stats.hoc *
stdgui.hoc *
syncode.hoc *
updown.hoc *
wdmaps2.nqs
xgetargs.hoc *
                            
// $Id: simctrl.hoc,v 1.14 2000/11/27 21:59:33 billl Exp $
// Graphic routines for neuremacs simulation control

proc sim_panel () {
  xpanel(simname)
        xvarlabel(output_file)
	xbutton("Init", "stdinit()")
	xbutton("Init & Run", "run()")
	xbutton("Stop", "stoprun=1")
	xbutton("Continue till Tstop", "continueRun(tstop)")
	xvalue("Continue till", "runStopAt", 1, "{continueRun(runStopAt) stoprun=1}", 1, 1)
	xvalue("Continue for", "runStopIn", 1, "{continueRun(t + runStopIn) stoprun=1}", 1,1)
	xbutton("Single Step", "steprun()")
	xvalue("Tstop", "tstop", 1, "tstop_changed()", 0, 1)
	graphmenu()
	sim_menu_bar()
	misc_menu_bar()
  xpanel()
}

proc misc_menu_bar() {
  xmenu("Miscellaneous")
    xbutton("Label Graphs", "labelgrs()")
    xbutton("Label With String", "labelwith()")
    xbutton("Label Panel", "labelpanel()")
	xbutton("Parameterized Function", "load_template(\"FunctionFitter\") makefitter()")
  xmenu()
}

proc sim_menu_bar() {
  xmenu("Simulation Control")
    xbutton("File Vers", "elisp(\"sim-current-files\")")
    xbutton("File Status...", "elisp(\"sim-rcs-status\")")
    xbutton("Sim Status", "elisp(\"sim-portrait\")")
    xbutton("Load Current Files", "elisp(\"sim-load-sim\")")
    xbutton("Load Templates", "elisp(\"sim-load-templates\")") 
    xbutton("Load File...", "elisp(\"sim-load-file\")") 
    xbutton("Save Sim...", "elisp(\"sim-save-sim\")")
    xbutton("Set File Vers...", "elisp(\"sim-set-file-ver\")")
    xbutton("Read Current Vers From Index", "elisp(\"sim-read-index-file\")")
    xbutton("Read Last Saved Vers", "elisp(\"sim-read-recent-versions\")")
    xbutton("Output to sim buffer", "elisp(\"sim-direct-output\")")
  xmenu()
}

proc labelpanel() {
  xpanel(simname,1)
	xvarlabel(output_file)
  xpanel()
}

proc labels () {
  labelwith($s1)
  labelgrs()
}

proc labelgrs () { local i, j, cnt
  for j=0,n_graph_lists-1 {
    cnt = graphList[j].count() - 1
    for i=0,cnt labelgr(graphList[j].object(i))
  }
}

proc labelwith () { local i, j, cnt
  temp_string_ = user_string_  // save the old one
  if (numarg() == 1) { /* interactive mode */  
    user_string_ = $s1
  } else {
    string_dialog("write what?", user_string_)
  }
  for j=0,n_graph_lists-1 {
    cnt = graphList[j].count() - 1
    for i=0,cnt {
      graphList[j].object(i).color(0)
      graphList[j].object(i).label(0.5,0.9,temp_string_)
      graphList[j].object(i).color(1)
      graphList[j].object(i).label(0.5,0.9,user_string_)
    }
  }
}

proc labelgr () { local i
  $o1.color(0)  // white overwrite
  for (i=0;i<10;i=i+1) { // erase every possible runnum for this date
    sprint(temp_string_,"%s %d%d",datestr,i,i)
    $o1.label(0.1,0.7,temp_string_) }
  $o1.color(1) // back to basic black
  sprint(temp_string_,"%s %02d",datestr,runnum)
  $o1.label(0.1,0.7,temp_string_)
}


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