def qLoves(x,y):
global parameters
lB=bsim.loadBrain('vb-exp-BReport.txt')
lG=bsim.loadBrain('vb-exp-GReport.txt')
lT=bsim.loadBrain('vb-exp-TReport.txt')
lS=bsim.loadBrain('vb-exp-SReport.txt')
_,spikesB=brainalyze.countSpikes(lB,10000*(parameters['ENDSIM']/2))
_,spikesG=brainalyze.countSpikes(lG,10000*(parameters['ENDSIM']/2))
_,spikesT=brainalyze.countSpikes(lT,10000*(parameters['ENDSIM']/2))
_,spikesS=brainalyze.countSpikes(lS,10000*(parameters['ENDSIM']/2))
if x[1]=='B':
spikesA=spikesB
elif x[1]=='G':
spikesA=spikesG
if y[1]=='B':
spikesO=spikesB
elif y[1]=='G':
spikesO=spikesG
cBT=brainalyze.corr(spikesB,spikesT)#/(brainalyze.corr(spikesT,spikesS)/1)
cGT=brainalyze.corr(spikesG,spikesT)#/(brainalyze.corr(spikesT,spikesS)/1)
cBS=brainalyze.corr(spikesB,spikesS)#/(brainalyze.corr(spikesS,spikesT)/1)
cGS=brainalyze.corr(spikesG,spikesS)#/(brainalyze.corr(spikesS,spikesT)/1)
cAT=brainalyze.corr(spikesA,spikesT)#/(brainalyze.corr(spikesS,spikesT)/1)
cOT=brainalyze.corr(spikesO,spikesT)#/(brainalyze.corr(spikesS,spikesT)/1)
cAS=brainalyze.corr(spikesA,spikesS)#/(brainalyze.corr(spikesS,spikesT)/1)
cOS=brainalyze.corr(spikesO,spikesS)#/(brainalyze.corr(spikesS,spikesT)/1)
print "john = Lover (cBT)", cBT*100
print "mary = Lover (cGT)", cGT*100
print "john = Lovee (cBS)", cBS*100
print "mary = Lovee (cGS)", cGS*100
print "x = Lover (cAT)", cAT*100
print "y = Lover (cOT)", cOT*100
print "x = Lovee (cAS)", cAS*100
print "y = Lovee (cOS)", cOS*100
if x != y and cAT > cOT and cOS > cAS:
return True
elif x == y:
# this is a bit of a hack, but can be made not to depend on x or y
if x==john and cBT > cBS and cGT > cGS and cBT >= cGT and cBS >= cGS:
return True
elif x==mary and cBS > cBT and cGS > cGT and cGT >= cBT and cGS >= cBS:
return True
else:
return False
else:
return False
def plotVoltage():
global parameters
sp=np.linspace(0.0,parameters['ENDSIM'],parameters['ENDSIM']*parameters['FSV'])
lB=bsim.loadBrain('vb-exp-BReport.txt')
lG=bsim.loadBrain('vb-exp-GReport.txt')
lT=bsim.loadBrain('vb-exp-TReport.txt')
lS=bsim.loadBrain('vb-exp-SReport.txt')
lI=bsim.loadBrain('vb-exp-IReport.txt')
plt.subplot(511)
plt.plot(sp,lB,'b')
plt.subplot(512)
plt.plot(sp,lG,'b')
plt.subplot(513)
plt.plot(sp,lT,'b')
plt.subplot(514)
plt.plot(sp,lS,'b')
plt.subplot(515)
plt.plot(sp,lI,'b')
plt.show()
def plotUse():
global parameters
sp=np.linspace(0.0,parameters['ENDSIM'],
1 + parameters['ENDSIM'] * parameters['FSV'])
lB=bsim.loadBrain('vb-exp-BUseReport.txt')
lG=bsim.loadBrain('vb-exp-GUseReport.txt')
lT=bsim.loadBrain('vb-exp-TUseReport.txt')
lS=bsim.loadBrain('vb-exp-SUseReport.txt')
plt.subplot(221)
plt.title('Blue Use')
plt.plot(sp,lB,'g')
plt.subplot(222)
plt.title('Green Use')
plt.plot(sp,lG,'g')
plt.subplot(223)
plt.title('Triangle Use')
plt.plot(sp,lT,'g')
plt.subplot(224)
plt.title('Square Use')
plt.plot(sp,lS,'g')
plt.show()