code: def twenty_five_neurons_mix_stimulated():
      "Object allocation"
      "If M = 0 then only object will be allocated"
      params = pcnn_parameters()
  
      params.AF = 0.1
      params.AL = 0.0
      params.AT = 0.7
      params.VF = 1.0
      params.VL = 1.0
      params.VT = 10.0
      params.M = 0.0
  
      template_dynamic_pcnn(
          25,
          100,
          [
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              0,
              0,
              0,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              0,
          ],
          params,
          conn_type.GRID_FOUR,
          False,
      )
  
file_path: pyclustering/pyclustering/nnet/examples/pcnn_examples.py
imports: from pyclustering.utils import draw_dynamics
  from pyclustering.utils import read_image, rgb2gray, draw_image_mask_segments
  from pyclustering.nnet.pcnn import pcnn_network, pcnn_parameters
  from pyclustering.nnet import *
  from pyclustering.samples.definitions import IMAGE_SIMPLE_SAMPLES
  from pyclustering.nnet.pcnn import pcnn_visualizer
label_desc: Use image node_id 6 for calling a global function with example usage: twenty_five_neurons_mix_stimulated() without return types