runfile

#! /bin/bash

#   12-01-2020
#   Author: Maral Budak (mbudak@umich.edu)
#
#   Specify the inputs (dB, Lu_maxs, Lu_mins, Lh_maxs, Lh_mins, trials, colors) below.
#
#   dB:       Sound pressure level in decibels (=70 in Figs 5A & 6A)
#   Lu_maxs:  Maximum Lu value in an SGN population
#   Lu_mins:  Minimum Lu value in an SGN population
#   Lh_maxs:  Maximum Lh value in an SGN population
#   Lh_mins:  Minimum Lh value in an SGN population
#   trials:   number of populations to be averaged (=50 in Figs 5A & 6A)
#   colors:   the colors for each CAP plot (need to be matplotlib colors - see https://matplotlib.org/3.1.0/gallery/color/named_colors.html)
#
#   The value of the k-th entry of each array below (Lu_maxs, Lu_mins, Lh_maxs, Lh_mins, colors) corresponds to the k-th population.
#   Therefore, the length of each array should be equal.
#
#   For the i-th population to be homogeneous (Lu=10, Lh=1):       
#        Lu_maxs[i]=Lu_mins[i]=10 
#        Lh_maxs[i]=Lh_mins[i]=1
#
#   For the j-th population to be heterogeneous (10<Lu<20, Lh=1):  
#        Lu_maxs[j]=20 
#        Lu_mins[j]=10
#        Lh_maxs=1
#        Lh_mins=1
#
#  To generate Fig.5A:
#       dB=70
#       Lu_maxs=(10.0 11.0 15.0 20.0 20.0)
#	Lu_mins=(10.0 11.0 15.0 20.0 10.0)
#	Lh_maxs=(1.0 1.0 1.0 1.0 1.0)
#	Lh_mins=(1.0 1.0 1.0 1.0 1.0)
#	trials=50
#	colors=("red" "blue" "magenta" "green" "black")
#
#
#  To generate Fig.6A:
#       dB=70
#       Lu_maxs=(10.0 10.0 10.0 10.0 10.0)
#       Lu_mins=(10.0 10.0 10.0 10.0 10.0)
#       Lh_maxs=(1.0 2.0 6.0 11.0 11.0)
#       Lh_mins=(1.0 2.0 6.0 11.0 1.0)
#       trials=50
#       colors=("red" "blue" "magenta" "green" "black")
#
#   The output of the simulation is:
#      plot.png: Plot of simulated CAPs
#      probs_*dB.mat: release probabilities from inner hair cells, size(63,15000) array (21 channels x 3 types of hair cells [HT, MT and LT] = 63 rows, 15000 time steps)
#      spikes_*dB_Lumax*_Lumin*_Lhmax*_Lhmin*.np: spikes from each auditory nerve, size(trials, 6300) array (6300 auditory nerves per population)
#      
#

### SPECIFY THE INPUTS

dB=70
Lu_maxs=(10.0 11.0 15.0 20.0 20.0)
Lu_mins=(10.0 11.0 15.0 20.0 10.0)
Lh_maxs=(1.0 1.0 1.0 1.0 1.0)
Lh_mins=(1.0 1.0 1.0 1.0 1.0)
trials=50
colors=("red" "blue" "magenta" "green" "black")

########################

matlab -r "calcReleaseProbs($dB); exit"

len=${#Lu_maxs[@]}

for (( i=0; i<$len; i++ ))
do
	python generate_AN_spikes.py $dB $trials ${Lu_maxs[$i]} ${Lu_mins[$i]} ${Lh_maxs[$i]} ${Lh_mins[$i]} 
	python plotConvolution.py $dB $trials ${Lu_maxs[$i]} ${Lu_mins[$i]} ${Lh_maxs[$i]} ${Lh_mins[$i]} ${colors[$i]}
done

rm plot.pickle
rm timestep_10000Hz.mat