code stringlengths 3 6.57k |
|---|
get_stdev(self) |
data.append(spike.wave.data) |
np.asarray(data) |
std(axis=0) |
get_weights(self, weighting=None, sstdev=None, tstdev=None) |
len(self.wave.chans) |
len(self.wave.data[0]) |
self.get_gaussian_spatial_weights(sstdev) |
self.get_gaussian_temporal_weights(tstdev) |
self.get_gaussian_spatial_weights(sstdev) |
self.get_gaussian_temporal_weights(tstdev) |
np.outer(sweights, tweights) |
print('\nweights:\n%r' % weights) |
get_gaussian_spatial_weights(self, stdev) |
Gaussian(mean=0, stdev=stdev) |
get_gaussian_temporal_weights(self, stdev) |
Gaussian(mean=0, stdev=stdev) |
PTCSHeader(object) |
int64 (currently version 3) |
uint64 (nbytes, keep as multiple of 8 for nice alignment) |
text
(padded with null bytes if needed for 8 byte alignment) |
uint64 (number of neurons) |
uint64 (total number of spikes) |
uint64 (number of bytes per template waveform sample) |
uint64 (Hz) |
uint64 (nbytes, keep as multiple of 8 for nice alignment) |
text
(padded with null bytes if needed for 8 byte alignment) |
uint64 (total num chans in polytrode) |
float64
(array of (x, y) |
uint64 (nbytes, keep as multiple of 8 for nice alignment) |
lstrip(fullfname, os.path.expanduser('~') |
os.path.join(sortpath, sortfname) |
str(datetime.datetime.fromtimestamp(os.path.getmtime(sortfullfname) |
sortfmoddt.split('.') |
os.path.getsize(sortfullfname) |
ptcs (polytrode clustered spikes) |
str(d) |
pad(descr, align=8) |
pad(lstrip(stream.fname, '../') |
pad(stream.probe.name, align=8) |
pad(self.dt.isoformat() |
write(self, f) |
np.int64(self.FORMATVERSION) |
tofile(f) |
np.uint64(len(self.descr) |
tofile(f) |
f.write(self.descr) |
np.uint64(self.nneurons) |
tofile(f) |
np.uint64(self.nspikes) |
tofile(f) |
np.uint64(self.nsamplebytes) |
tofile(f) |
np.uint64(s.sampfreq) |
tofile(f) |
np.uint64(len(self.pttype) |
tofile(f) |
f.write(self.pttype) |
np.uint64(s.stream.probe.nchans) |
tofile(f) |
np.float64(s.stream.probe.siteloc_arr() |
tofile(f) |
np.uint64(len(self.srcfname) |
tofile(f) |
f.write(self.srcfname) |
np.float64(td2days(self.dt - EPOCH) |
tofile(f) |
datetime (in days) |
np.uint64(len(self.dtstr) |
tofile(f) |
f.write(self.dtstr) |
PTCSNeuronRecord(object) |
int64 (signed neuron id, could be -ve, could be non-contiguous with previous) |
uint64 (nbytes, keep as multiple of 8 for nice alignment, defaults to 0) |
text
(padded with null bytes if needed for 8 byte alignment) |
float64 (um) |
float64 (um) |
float64 (um) |
uint64 (num chans in template waveforms) |
uint64 (0 based IDs of channels in template waveforms) |
uint64 (0 based ID of max channel in template waveforms) |
uint64 (num timepoints per template waveform channel) |
uint64 (nbytes, keep as multiple of 8 for nice alignment) |
uint64 (nbytes, keep as multiple of 8 for nice alignment) |
uint64 (number of spikes in this neuron) |
uint64 (us, should be sorted) |
__init__(self, neuron, spikets=None, nsamplebytes=None, descr='') |
n.update_wave() |
pad(self.wavedtype(AD2uV(n.wave.data) |
pad(self.wavedtype(AD2uV(n.wave.std) |
pad(descr, align=8) |
write(self, f) |
np.int64(n.id) |
tofile(f) |
np.uint64(len(self.descr) |
tofile(f) |
f.write(self.descr) |
np.float64(np.nan) |
tofile(f) |
np.float64(n.cluster.pos['x0']) |
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