def activate(self):
" Updates neuron's state for a single time-step. "
if(len(self._synapses) > 0):
self.__update_state()
return nn.sigmoid(self.__state + self._bias, self._response, self._activation_type)
else:
return self._output # in case it's a sensor
def __init__(self, neurontype, id = None, bias = 0.0, response = 1.0, activation_type = 'exp', tau = 1.0):
super(CTNeuron, self).__init__(neurontype, id, bias, response, activation_type)
# decay rate
self.__tau = tau
# needs to set the initial state (initial condition for the ODE)
self.__state = 0.1 #TODO: Verify what's the "best" initial state
# fist output
self._output = nn.sigmoid(self.__state + self._bias, self._response, self._activation_type)
# integration step
self.__dt = 0.05 # depending on the tau constant, the integration step must
def __init__(self,
neurontype,
id=None,
bias=0.0,
response=1.0,
activation_type='exp',
tau=1.0):
super(CTNeuron, self).__init__(neurontype, id, bias, response,
activation_type)
# decay rate
self.__tau = tau
# needs to set the initial state (initial condition for the ODE)
self.__state = 0.1 #TODO: Verify what's the "best" initial state
# fist output
self._output = nn.sigmoid(self.__state + self._bias, self._response,
self._activation_type)
# integration step
self.__dt = 0.05 # depending on the tau constant, the integration step must
def set_init_state(self, state):
self.__state = state
self._output = nn.sigmoid(self.__state + self._bias, self._response, self._activation_type)
def activate(self):
""" Updates neuron's state for a single time-step. . """
assert self._type is not 'INPUT'
self.__update_state()
return nn.sigmoid(self.__state + self._bias, self._response,
self._activation_type)
def set_init_state(self, state):
self.__state = state
self._output = nn.sigmoid(self.__state + self._bias, self._response,
self._activation_type)
def activate(self):
""" Updates neuron's state for a single time-step. . """
assert self._type is not 'INPUT'
self.__update_state()
return nn.sigmoid(self.__state + self._bias, self._response, self._activation_type)