Represents output dynamic of PCNN (pulse-coupled neural network). More...
Public Member Functions | |
def | output (self) |
(list) Returns oscillato outputs during simulation. | |
def | time (self) |
(list) Returns sampling times when dynamic is measured during simulation. | |
def | __init__ (self, dynamic, ccore=None) |
Constructor of PCNN dynamic. More... | |
def | __del__ (self) |
Default destructor of PCNN dynamic. | |
def | __len__ (self) |
(uint) Returns number of simulation steps that are stored in dynamic. | |
def | allocate_sync_ensembles (self) |
Allocate clusters in line with ensembles of synchronous oscillators where each synchronous ensemble corresponds to only one cluster. More... | |
def | allocate_spike_ensembles (self) |
Analyses output dynamic of network and allocates spikes on each iteration as a list of indexes of oscillators. More... | |
def | allocate_time_signal (self) |
Analyses output dynamic and calculates time signal (signal vector information) of network output. More... | |
Represents output dynamic of PCNN (pulse-coupled neural network).
def pyclustering.nnet.pcnn.pcnn_dynamic.__init__ | ( | self, | |
dynamic, | |||
ccore = None |
|||
) |
Constructor of PCNN dynamic.
[in] | dynamic | (list): Dynamic of oscillators on each step of simulation. If ccore pointer is specified than it can be ignored. |
[in] | ccore | (ctypes.pointer): Pointer to CCORE pcnn_dynamic instance in memory. |
def pyclustering.nnet.pcnn.pcnn_dynamic.allocate_spike_ensembles | ( | self | ) |
def pyclustering.nnet.pcnn.pcnn_dynamic.allocate_sync_ensembles | ( | self | ) |
Allocate clusters in line with ensembles of synchronous oscillators where each synchronous ensemble corresponds to only one cluster.
Definition at line 165 of file pcnn.py.
Referenced by pyclustering.cluster.syncnet.syncnet_analyser.allocate_clusters(), and pyclustering.gcolor.sync.syncgcolor_analyser.allocate_color_clusters().
def pyclustering.nnet.pcnn.pcnn_dynamic.allocate_time_signal | ( | self | ) |