def get_APs(self, **run_params):
try:
vm = self._backend.get_membrane_potential(**run_params)
except:
vm = self.get_membrane_potential(**run_params)
if hasattr(self._backend, 'name'):
self._backend.threshold = np.max(vm) - np.max(vm) / 250.0
waveforms = sf.get_spike_waveforms(vm, self._backend.threshold)
else:
waveforms = sf.get_spike_waveforms(vm)
return waveforms
def get_APs(self):
"""Gets action potential waveform chunks from the model.
Returns
-------
Must return a neo.core.AnalogSignalArray.
Each neo.core.AnalogSignal in the array should be a spike waveform.
"""
return spike_functions.get_spike_waveforms(self.get_membrane_potential())
def get_APs(self, **run_params):
vm = self.get_membrane_potential(**run_params)
waveforms = sf.get_spike_waveforms(vm)
return waveforms
def get_APs(self, rerun=False, **run_params):
vm = self.get_membrane_potential(rerun=rerun, **run_params)
waveforms = sf.get_spike_waveforms(vm)
return waveforms
def get_APs(self, **run_params):
"""Return the APs, if any, contained in the static waveform."""
vm = self.get_membrane_potential(**run_params)
waveforms = sf.get_spike_waveforms(vm)
return waveforms
def get_APs(self):
"""Return the APs, if any, contained in the static waveform."""
vm = self.vm
waveforms = sf.get_spike_waveforms(vm)
return waveforms
