def specgram(self,
t0=None,
t1=None,
f0=None,
f1=2000,
p0=None,
p1=None,
chanis=-1,
width=2**16,
tres=2**16 - 2**15,
cm=None,
colorbar=False,
figsize=(20, 6.5)):
LFP.specgram(self, t0, t1, f0, f1, p0, p1, chanis, width, tres, cm,
colorbar, figsize)
def filterord(self, chanis=-1, f0=300, f1=None, order=4, btype='highpass', ftype='butter',
plot=False):
b, a = LFP.filterord(self, chanis, f0, f1, order, btype, ftype)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)
return b, a
def filter(self, chanis=-1, f0=500, f1=0, fr=100, gpass=0.01, gstop=50, ftype='ellip',
plot=False):
b, a = LFP.filter(self, chanis, f0, f1, fr, gpass, gstop, ftype)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)
return b, a
def filterord(self,
chanis=-1,
f0=300,
f1=None,
order=4,
btype='highpass',
ftype='butter',
plot=False):
b, a = LFP.filterord(self, chanis, f0, f1, order, btype, ftype)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)
return b, a
def filter(self,
chanis=-1,
f0=500,
f1=0,
fr=100,
gpass=0.01,
gstop=50,
ftype='ellip',
plot=False):
b, a = LFP.filter(self, chanis, f0, f1, fr, gpass, gstop, ftype)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)
return b, a
def filterwavelet(self, chanis=-1, wname="db4", maxlevel=6, plot=False):
LFP.filterwavelet(self, chanis, wname, maxlevel)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)
def specgram(self, t0=None, t1=None, f0=None, f1=2000, p0=None, p1=None, chanis=-1,
width=2**16, tres=2**16-2**15, cm=None, colorbar=False, figsize=(20, 6.5)):
LFP.specgram(self, t0, t1, f0, f1, p0, p1, chanis, width, tres, cm, colorbar,
figsize)
def __init__(self, fname='/home/mspacek/work/Buzsaki_raw_data/trace_8Chan_High-Sleep.dat'):
LFP.__init__(self, Recording(''), fname) # give it a fake recording
if title:
a.set_title(titlestr)
f.tight_layout(pad=0.3) # crop figure to contents
# LFP plot options:
lfpfname = '/home/mspacek/dev/blab/natmov/results/PVCre_0113/s01/PVCre_0113_s01_e11_LFP.mat'
lfpchanis = [31] #range(32) # 0-based
f1 = 59 # Hz
relative2t0 = True
lfpfigsize = 5, 2 # inches
title = False
width, tres = 2, 0.5 # s
# plot LFP spectrograms:
lfp = LFP(None, None)
lfpmat = loadmat(lfpfname)
ename = os.path.splitext(os.path.basename(lfpfname))[0].rstrip('_LFP') + '_specgram'
lfp.data = lfpmat['lfp'] * 1000 # convert from mV to uV
tlfp = intround(lfpmat['tlfp'][0] * 1e6) # convert from s to nearest us
lfp.t0, lfp.t1 = tlfp[0], tlfp[-1]
lfp.tres = intround((np.diff(tlfp)).mean()) # us
lfp.sampfreq = intround(1e6 / lfp.tres) # Hz
for chani in lfpchanis:
lfp.specgram(f1=f1, chanis=chani, width=width, tres=tres, relative2t0=relative2t0,
title=title, reclabel=False, figsize=lfpfigsize)
titlestr = ename + '_c%d' % (chani+1) # 1-based chan ID
gcfm().window.setWindowTitle(titlestr)
# plot runspeed as a color map:
def __init__(
self,
fname='/home/mspacek/work/Buzsaki_raw_data/trace_8Chan_High-Sleep.dat'
):
LFP.__init__(self, Recording(''), fname) # give it a fake recording
def filterwavelet(self, chanis=-1, wname="db4", maxlevel=6, plot=False):
LFP.filterwavelet(self, chanis, wname, maxlevel)
if plot:
self.plot(0.31, 0.325, chanis=chanis)
self.specgram(0, 500, f1=2000, p0=None, p1=None)