experiment_odour_baseline.hoc

// experiment_odour_baseline.hoc
// Olfactory bulb network model: experiment file
//   for odour input.
// Andrew Davison, The Babraham Institute, 2000.

xopen("calcisilag.hoc")

// Redefine run() procedure
proc run() {
  running_ = 1
  set_no_input()
  add_uniform_input(-0.1,0.3)
  stdinit()
  continuerun(ttrans)
  add_fixed_input(inputnumber,maxinput)
  continuerun(tstop)
  show_results()
}
print "Note: run() procedure redefined."

// Process data and print out results
proc print_results() {
  print_raster(fileroot)
  print_gran_raster(fileroot)
  print_smooth_hist(minisi()/4,fileroot)
  print_gran_smooth_hist(minisi()/4,fileroot)
  print_isi_stats(fileroot)
  print_si(fileroot)
  print "Results printed to files."
}

// Show results on screen
objref gResults[4], yvec
proc show_results() { local i,j
  yvec = new Vector()
  for i = 0,3 {
    gResults[i] = new Graph(0)
  }
  for i = 0, nmitx-1 {
    for j = 0, nmity-1 {
      k = i*nmity + j
      yvec.resize(mit[i][j].spiketimes.size())
      yvec.fill(k)
      yvec.mark(gResults[0],mit[i][j].spiketimes,"|",3)
    }
  }
  gResults[0].label(0.3,0.9,"Mitral cell spike plot")
  gResults[0].view(0,-0.1*nmitx*nmity,tstop,nmitx*nmity*1.2,400,0,500,150)
  calc_smooth_hist(minisi()/4)
  hist.plot(gResults[1])
  gResults[1].label(0.3,0.9,"Mitral cell spike time histogram")
  gResults[1].view(0,-0.1*hist.max(),tstop,hist.max()*1.2,400,220,500,150)
  for i = 0, ngranx-1 {
    for j = 0, ngrany-1 {
      k = i*ngrany + j
      yvec.resize(gran[i][j].spiketimes.size())
      yvec.fill(k)
      yvec.mark(gResults[2],gran[i][j].spiketimes,"|",1)
    }
  }
  gResults[2].label(0.3,0.9,"Granule cell spike plot")
  gResults[2].view(0,-0.1*ngranx*ngrany,tstop,ngranx*ngrany*1.2,400,440,500,150)
  calc_gran_smooth_hist(minisi()/4)
  hist.plot(gResults[3])
  gResults[3].label(0.3,0.9,"Granule cell spike time histogram")
  gResults[3].view(0,-0.1*hist.max(),tstop,hist.max()*1.2,400,660,500,150)
}

xopen("odour_baseline.ses")