class_docstr: !
  @brief Central element consist of two central neurons that are described by a little bit different dynamic than peripheral.
  
  @see hhn_network
class_docstr_tok: ["!","@","brief","Central","element","consist","of","two","central","neurons","that","are","described","by","a","little","bit","different","dynamic","than","peripheral",".","@","see","hhn_network"]
docstr: !
  @brief Returns string that represents central element.
docstr_tok: ["!","@","brief","Returns","string","that","represents","central","element","."]
code: def __repr__(self):
      """!
      @brief Returns string that represents central element.
  
      """
      return "%s, %s" % (
          self.membrane_potential,
          self.pulse_generation_time,
      )
  
imports: from scipy.integrate import odeint
  from pyclustering.core.wrapper import ccore_library
  import pyclustering.core.hhn_wrapper
  from pyclustering.nnet import *
  from pyclustering.utils import allocate_sync_ensembles
  import numpy
  import random
label_desc: Use image node_id 2 for calling the central_element obj's underlying member method code with example usage: obj.__repr__() and returns: unknown