import os
os.environ["OPENBLAS_NUM_THREADS"] = "20"
import numpy as np
import sys
import multiprocessing
from math import nan
from scipy.io import savemat
def chirpForMulti(invar):
sec_num, loc, filename = invar
from getCells import HayCell
pt_cell = HayCell()
seg = pt_cell.apic[sec_num](loc)
# from neuron import h
# for sec in h.allsec():
# try: sec.uninsert('SK_E2')
# except: pass
from chirpUtils import applyChirp, getChirp
amp = 0.0025
f0, f1, t0, Fs, delay = 0.5, 20, 20, 1000, 5 # for looking at bimodal leading phase response in Hay cell
I, t = getChirp(f0, f1, t0, amp, Fs, delay)
print('running chirp on ' + str(seg))
out = applyChirp(I, t, seg, pt_cell.soma[0](0.5), t0, delay, Fs, f1)
ZinResAmp = []
ZinResFreq = []
ZcResAmp = []
ZcResFreq = []
dist = []
QfactorIn = []
QfactorTrans = []
fVarIn = []
fVarTrans = []
ZinPeakPhaseFreq = []
ZinLeadPhaseBW = []
ZinLeadPhaseMinFreq = []
ZinSynchFreq = []
ZinLeadPhaseBool = []
ZcPeakPhaseFreq = []
ZcLeadPhaseBW = []
ZcLeadPhaseMinFreq = []
ZcSynchFreq = []
ZcLeadPhaseBool = []
ZinResAmp.append(out['ZinResAmp'])
ZinResFreq.append(out['ZinResFreq'])
ZcResAmp.append(out['ZcResAmp'])
ZcResFreq.append(out['ZcResFreq'])
dist.append(out['dist'])
QfactorIn.append(out['QfactorIn'])
QfactorTrans.append(out['QfactorTrans'])
fVarIn.append(out['fVarIn'])
fVarTrans.append(out['fVarTrans'])
freqs = out['Freq'][np.argwhere(out['ZinPhase'] > 0)]
if len(freqs) > 0:
ZinPeakPhaseFreq.append(out['Freq'][np.argwhere(out['ZinPhase'] == np.max(out['ZinPhase']))])
ZinLeadPhaseBW.append(freqs[-1] - freqs[0])
ZinLeadPhaseMinFreq.append(freqs[0])
ZinSynchFreq.append(freqs[-1])
ZinLeadPhaseBool.append(out['ZinPhase'] > 0)
else:
ZinPeakPhaseFreq.append(nan)
ZinLeadPhaseBW.append(0)
ZinLeadPhaseMinFreq.append(nan)
ZinSynchFreq.append(nan)
ZinLeadPhaseBool.append(out['ZinPhase'] > 0)
freqs = out['Freq'][np.argwhere(out['ZcPhase'] > 0)]
if len(freqs) > 0:
ZcPeakPhaseFreq.append(out['Freq'][np.argwhere(out['ZcPhase'] == np.max(out['ZcPhase']))])
ZcLeadPhaseBW.append(freqs[-1] - freqs[0])
ZcLeadPhaseMinFreq.append(freqs[0])
ZcSynchFreq.append(freqs[-1])
ZcLeadPhaseBool.append(out['ZcPhase'])
else:
ZcPeakPhaseFreq.append(nan)
ZcLeadPhaseBW.append(0)
ZcLeadPhaseMinFreq.append(nan)
ZcSynchFreq.append(nan)
ZcLeadPhaseBool.append(out['ZcPhase'])
print(str(sec) + ' ' + str(loc) + ': done')
output = { 'ZinResAmp' : ZinResAmp,
'ZinResFreq' : ZinResFreq,
'ZcResAmp' : ZcResAmp,
'ZcResFreq' : ZcResFreq,
'dist' : dist,
'QfactorIn' : QfactorIn,
'QfactorTrans' : QfactorTrans,
'fVarIn' : fVarIn,
'fVarTrans' : fVarTrans,
'ZinPeakPhaseFreq' : ZinPeakPhaseFreq,
'ZinLeadPhaseBW' : ZinLeadPhaseBW,
'ZinLeadPhaseMinFreq' : ZinLeadPhaseMinFreq,
'ZinSynchFreq' : ZinSynchFreq,
'ZinLeadPhaseBool' : ZinLeadPhaseBool,
'ZcPeakPhaseFreq' : ZcPeakPhaseFreq,
'ZcLeadPhaseBW' : ZcLeadPhaseBW,
'ZcLeadPhaseMinFreq' : ZcLeadPhaseMinFreq,
'ZcSynchFreq' : ZcSynchFreq,
'ZcLeadPhaseBool' : ZcLeadPhaseBool}
savemat(filename + '.mat',output)
data = []
from getCells import HayCell
pt_cell = HayCell()
for ind, sec in enumerate(pt_cell.apic):
nseg = sec.nseg
if nseg == 1:
data.append([ind, 0.5, '/u/craig/L5PYR_Resonance/Hay/newDist/apic'+str(ind)+'_0.5'])
else:
for loc in np.linspace(1/(nseg+1), nseg/(nseg+1), nseg):
data.append([ind, loc, '/u/craig/L5PYR_Resonance/Hay/newDist/apic'+str(ind)+'_'+str(loc)])
data = tuple(data)
def mp_handler():
p = multiprocessing.Pool(20)
p.map(chirpForMulti, data)
if __name__ == '__main__':
mp_handler()