def get_spike_count_by_threshold(vm,
thresholds=np.arange(-30, 15, 10) * pq.mV):
counts = {
float(thresh): len(spike_extraction(vm, threshold=thresh))
for thresh in thresholds
}
return counts
def count_stray_spikes(vm, stim_start, stim_end):
spike_train = spike_extraction(vm, threshold=-20 * pq.mV)
before_stim_train = spike_train.time_slice(0 * pq.s,
stim_start * pq.s - 1 * pq.ms)
after_stim_train = spike_train.time_slice(stim_end * pq.s + 5 * pq.ms,
None)
n_before = len(before_stim_train)
n_after = len(after_stim_train)
return n_before + n_after
def test_spike_extraction_waveform(self):
spike_train = stgen.spike_extraction(self.vm.reshape(-1),
extr_interval = (-1*ms, 2*ms))
try:
assert_array_almost_equal(spike_train.waveforms[0][0].magnitude.reshape(-1),
self.first_spike)
except AttributeError:
self.assertTrue(
np.array_equal(spike_train.waveforms[0][0].magnitude,
self.first_spike))
def test_spike_extraction_waveform(self):
spike_train = stgen.spike_extraction(self.vm.reshape(-1),
extr_interval = (-1*ms, 2*ms))
try:
assert_array_almost_equal(spike_train.waveforms[0][0].magnitude.reshape(-1),
self.first_spike)
except AttributeError:
self.assertTrue(
np.array_equal(spike_train.waveforms[0][0].magnitude,
self.first_spike))
