text: import numpy as np
  import rnn_neuron as nu
  import function
  
  # f_FPC_unit: a one unit of f-PFC,2
  
  W = np.array([[0, 1], [0.917, 0]])
  
  
  class rnn_layer_unit:
      def __init__(self):
          self.random_del = 1
          self.dt = 0.01
          self.Tau = 10
          self.W = None
          self.Wr = None
          self.b = None
          self.V = None
          self.S = None
          self.one_layer = nu.neuron()
          self.one_layer.def_parameter(
              self.Tau, self.dt, self.random_del)
          self.function = function.function()
          self.function.def_parameter(
              self.Tau, self.dt, self.random_del)
          self.mode = None
  
      def def_parameter(self, Tau, dt, random_del):
          self.random_del = random_del
          self.dt = dt
          self.Tau = Tau
          self.one_layer.def_parameter(
              self.Tau, self.dt, self.random_del)
          # print("**f=pfc")
          # print(self.random_del)
  
      def initiate(self, v, b, w, wr, mode=None):
          self.W = w
          self.Wr = wr
          self.V = v
          self.S = self.function.sigmoid(v)
          self.b = b
          self.mode = mode
  
      def forward(self, si):
          self.V, self.S = self.one_layer.forward(
              self.V, si, self.S, self.W, self.Wr, self.b, self.mode)
          return self.V, self.S
  