code stringlengths 3 6.57k |
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method (abs(kurtosis) |
fastica.fit_transform(data) |
print('fastica niters: %d' % (fastica.n_iter_) |
ValueError('Invalid ICALIB %r' % ICALIB) |
RuntimeError('Need at least 3 columns') |
abs(kurtosis) |
IC (column) |
scipy.stats.kurtosis(X, axis=0) |
abs(k) |
argsort() |
abs(kurtosis) |
print('Sort by abs(kurtosis) |
print(k[ki]) |
IC (column) |
core.negentropy(X, axis=0) |
assert (ne > 0) |
all() |
ne.argsort() |
print('Sort by negentropy:') |
print(ne[nei]) |
pl.figure() |
pl.imshow(pm) |
pl.colorbar() |
pl.title('original projmatrix') |
pl.figure() |
pl.imshow(pm[:, ki]) |
pl.colorbar() |
pl.title('decreasing abs(kurtosis) |
pl.figure() |
pl.imshow(pm[:, nei]) |
pl.colorbar() |
pl.title('decreasing negentropy projmatrix') |
ValueError('Unknown kind %r' % kind) |
print('Output shape for %s: %r' % (kind, X.shape) |
print('%s took %.3f sec' % (kind, time.time() |
list(np.unique(spikes['nid'][sids]) |
update_comppos(X, sids) |
get_rms_error(self, sids, tis=None, chans=None) |
waveforms (all from the same cluster) |
np.unique(spikes['nid'][sids]) |
len(nids) |
RuntimeError("Spikes must all belong to the same (non-junk) |
np.asarray([0, nt]) |
print('tis: %r' % (tis,) |
self.get_common_chans(sids, chans) |
len(chans) |
len(sids) |
RuntimeError("Spikes have no common chans for RMS error") |
list(tis) |
list(chans) |
np.zeros((nspikes, nchans, nt) |
enumerate(sids) |
spikechans.searchsorted(chans) |
get_wave() |
wave.chans.searchsorted(chans) |
np.float64(wave.data[chanis, ti0:ti1]) |
se.mean(axis=2) |
mean(axis=1) |
np.sqrt(mse) |
get_common_chans(self, sids, chans=None) |
time.time() |
zip(chanss, nchanss) |
print('Building chanslist took %.3f sec' % (time.time() |
util.intersect1d_uint8(chanslist) |
len(chans) |
np.setdiff1d(chans, commonchans) |
np.intersect1d(chans, commonchans) |
len(diffchans) |
print('WARNING: ignored chans %r not common to all spikes' % list(diffchans) |
get_Xhash(self, kind, sids, tis, chans, npcsperchan, norm) |
hashlib.md5() |
h.update(kind.encode() |
h.update(sids) |
h.update(tis) |
h.update(chans) |
h.update(str(npcsperchan) |
encode() |
h.update(str(norm) |
encode() |
h.hexdigest() |
create_neuron(self, id=None, inserti=None) |
RuntimeError('Neuron %d already exists' % id) |
int(id) |
Neuron(self, id) |
self.norder.append(neuron.id) |
self.norder.insert(inserti, neuron.id) |
remove_neuron(self, id) |
self.norder.remove(id) |
except (KeyError, ValueError) |
shift(self, sids, nt) |
core.shiftpad(wd[sid], nt) |
intround(nt * self.tres) |
util.alignbest_cy() |
alignbest(self, sids, tis, chans) |
len(sids) |
len(chans) |
print('subntdiv2 on either side of t=0: %d' % subntdiv2) |
ValueError("Selected waveform duration too short") |
range(-maxshift, maxshift+1) |
len(shifts) |
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