def allocate_spike_ensembles(self):
"""!
@brief Analyses output dynamic of network and allocates spikes on each iteration as a list of indexes of oscillators.
@details Each allocated spike ensemble represents list of indexes of oscillators whose output is active.
@return (list) Spike ensembles of oscillators.
"""
if self.__ccore_pcnn_dynamic_pointer is not None:
return wrapper.pcnn_dynamic_allocate_spike_ensembles(
self.__ccore_pcnn_dynamic_pointer)
spike_ensembles = []
number_oscillators = len(self.__dynamic[0])
for t in range(len(self.__dynamic)):
spike_ensemble = []
for index in range(number_oscillators):
if self.__dynamic[t][index] == self.__OUTPUT_TRUE:
spike_ensemble.append(index)
if len(spike_ensemble) > 0:
spike_ensembles.append(spike_ensemble)
return spike_ensembles
def allocate_spike_ensembles(self):
"""!
@brief Analyses output dynamic of network and allocates spikes on each iteration as a list of indexes of oscillators.
@details Each allocated spike ensemble represents list of indexes of oscillators whose output is active.
@return (list) Spike ensembles of oscillators.
"""
if (self.__ccore_pcnn_dynamic_pointer is not None):
return wrapper.pcnn_dynamic_allocate_spike_ensembles(self.__ccore_pcnn_dynamic_pointer);
spike_ensembles = [];
number_oscillators = len(self.__dynamic[0]);
for t in range(len(self.__dynamic)):
spike_ensemble = [];
for index in range(number_oscillators):
if (self.__dynamic[t][index] == self.__OUTPUT_TRUE):
spike_ensemble.append(index);
if (len(spike_ensemble) > 0):
spike_ensembles.append(spike_ensemble);
return spike_ensembles;