def ppc(session,area,unit,start,stop,
window=100,FMAX=250,color='k',label=None,nTapers=None,lw=1.5,linestyle='-'):
if not nTapers is None:
warn('WARNING: no longer using multitaper, nTapers will be ignored! using Hann window')
# depricating original code due to inconsistency with matlab PPC code
'''
snippits = getSTLFP(session,area,unit,start,stop,window)
M = shape(snippits)[0]
fs = fft(snippits)
raw = abs(sum(fs/abs(fs),0))**2
unbiased = (raw-M)/(M**2-M)
freqs = fftfreq(window*2+1,1./FS)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],color=color,label=label)
ylim(0,0.5)
ylabel('PPC',labelpad=-10)
xlim(0,FMAX)
nicelimits()
xticks(linspace(0,FMAX,11),['%d'%x for x in linspace(0,FMAX,11)])
xlabel('Frequency (Hz)')
title('Pairwise phase consistency')
simpleaxis(gca())
'''
channel = get_unit_channel(session,area,unit)
'''
# formerly getting signals from each block. we need to pull the data
# from the raw LFP though, so that we can grab some LFP outside the
# blocks in order to analyze spikes close to the edge of block. We
# need those spikes for statistical power
signal = get_good_trial_lfp_data(session,area,channel)
times = get_all_good_trial_spike_times(session,area,unit,(6,start,stop))
'''
signal = get_raw_lfp_session(session,area,channel)
times = get_spikes_session_filtered_by_epoch(session,area,unit,(6,start,stop))
(freqs,unbiased,phases),snippits = pairwise_phase_consistancy(signal,times,
window=window,
Fs=1000,
multitaper=False,
biased=False,
delta=100,
taper=hann)
# function does not return anything,
# just plots (below)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],linestyle,color=color,label=label,lw=lw)
#cl = ppc_chance_level(nSamples,10000,.999,nTapers)
#plot(xlim(),[cl,cl],color=color,label=label+' 99.9% chance level')
#print 'chance level is %s'%cl
ylim(0,0.5)
ylabel('PPC',labelpad=-10)
xlim(0,FMAX)
nicelimits()
xticks(linspace(0,FMAX,6),['%d'%x for x in linspace(0,FMAX,11)])
xlabel('Frequency (Hz)')
title('Pairwise phase consistency')
simpleaxis(gca())
def compare_ppc_approaches(session,area,unit,start,stop,window=100,FMAX=250):
'''
Try with
compare_ppc_approaches('RUS120523','PMv',42,-1000,0,200)
'''
channel = get_unit_channel(session,area,unit)
signal = get_raw_lfp_session(session,area,channel)
times = get_spikes_session_filtered_by_epoch(session,area,unit,(6,start,stop))
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,
multitaper=False,biased=False,taper=hann)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Hann unbiased')
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,
multitaper=False,biased=True,taper=hann)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Hann biased')
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,
multitaper=True,biased=False,k=1)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Multitaper 1 taper unbiased')
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,k=2,
multitaper=True,biased=False)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Multitaper 2 taper unbiased')
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,k=3,
multitaper=True,biased=False)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Multitaper 3 taper unbiased')
(freqs,unbiased),nSamples = pairwise_phase_consistancy(signal,times,
window=window,Fs=1000,delta=100,k=4,
multitaper=True,biased=False)
use = (freqs>0.)&(freqs<=250.)
plot(freqs[use],unbiased [use],label='Multitaper 4 taper unbiased')
#cl = ppc_chance_level(nSamples,10000,.999,nTapers)
#plot(xlim(),[cl,cl],color=color,label=label+' 99.9% chance level')
#print 'chance level is %s'%cl
ylim(0,0.5)
ylabel('PPC',labelpad=-10)
xlim(0,FMAX)
nicelimits()
xticks(linspace(0,FMAX,11),['%d'%x for x in linspace(0,FMAX,11)])
xlabel('Frequency (Hz)')
title('Pairwise phase consistency')
simpleaxis(gca())
