pyclustering.nnet.pcnn.pcnn_visualizer Class Reference

Visualizer of output dynamic of pulse-coupled neural network (PCNN). More...

Static Public Member Functions

def show_time_signal (pcnn_output_dynamic)
 Shows time signal (signal vector information) using network dynamic during simulation. More...
 
def show_output_dynamic (pcnn_output_dynamic, separate_representation=False)
 Shows output dynamic (output of each oscillator) during simulation. More...
 
def animate_spike_ensembles (pcnn_output_dynamic, image_size)
 Shows animation of output dynamic (output of each oscillator) during simulation. More...
 

Detailed Description

Visualizer of output dynamic of pulse-coupled neural network (PCNN).

Definition at line 243 of file pcnn.py.

Member Function Documentation

◆ animate_spike_ensembles()

def pyclustering.nnet.pcnn.pcnn_visualizer.animate_spike_ensembles (   pcnn_output_dynamic,
  image_size 
)
static

Shows animation of output dynamic (output of each oscillator) during simulation.

Parameters
[in]pcnn_output_dynamic(pcnn_dynamic): Output dynamic of the pulse-coupled neural network.
[in]image_size(tuple): Image size represented as (height, width).

Definition at line 282 of file pcnn.py.

◆ show_output_dynamic()

def pyclustering.nnet.pcnn.pcnn_visualizer.show_output_dynamic (   pcnn_output_dynamic,
  separate_representation = False 
)
static

Shows output dynamic (output of each oscillator) during simulation.

Parameters
[in]pcnn_output_dynamic(pcnn_dynamic): Output dynamic of the pulse-coupled neural network.
[in]separate_representation(list): Consists of lists of oscillators where each such list consists of oscillator indexes that will be shown on separated stage.

Definition at line 270 of file pcnn.py.

◆ show_time_signal()

def pyclustering.nnet.pcnn.pcnn_visualizer.show_time_signal (   pcnn_output_dynamic)
static

Shows time signal (signal vector information) using network dynamic during simulation.

Parameters
[in]pcnn_output_dynamic(pcnn_dynamic): Output dynamic of the pulse-coupled neural network.

Definition at line 250 of file pcnn.py.


The documentation for this class was generated from the following file: