def __init__(self, alpha, tau=default_parameters['tau']):
self.__alpha = alpha
self.__tau = tau
self.__synapse_structure = SynapseStructureWeightOnly()
ts = get_simulator().machine_time_step / 1000.0
self.__tau_data = get_exp_lut_array(ts, self.__tau)
def __init__(
self,
tau=40.0,
peak_time=100.0):
AbstractTimingDependence.__init__(self)
self._tau = tau
self._peak_time = peak_time
self._synapse_structure = SynapseStructureWeightOnly()
def __init__(self, tau_plus=20.0, tau_minus=20.0):
self._tau_plus = tau_plus
self._tau_minus = tau_minus
self._synapse_structure = SynapseStructureWeightOnly()
# provenance data
self._tau_plus_last_entry = None
self._tau_minus_last_entry = None
def __init__(self, tau_plus=20.0, tau_minus=20.0):
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__synapse_structure = SynapseStructureWeightOnly()
# provenance data
ts = get_simulator().machine_time_step / 1000.0
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
def __init__(self, tau_plus=default_parameters['tau_plus'],
tau_minus=default_parameters['tau_minus']):
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__synapse_structure = SynapseStructureWeightOnly()
# provenance data
self.__tau_plus_last_entry = None
self.__tau_minus_last_entry = None
def __init__(self,
tau_plus=default_parameters['tau_plus'],
tau_minus=default_parameters['tau_minus']):
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__synapse_structure = SynapseStructureWeightOnly()
ts = get_simulator().machine_time_step / 1000.0
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
def __init__(self, tau_plus, tau_minus, tau_x, tau_y):
self._tau_plus = tau_plus
self._tau_minus = tau_minus
self._tau_x = tau_x
self._tau_y = tau_y
self._synapse_structure = SynapseStructureWeightOnly()
# provenance data
self._tau_plus_last_entry = None
self._tau_minus_last_entry = None
self._tau_x_last_entry = None
self._tau_y_last_entry = None
def __init__(self, tau_plus, tau_minus, tau_x, tau_y):
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__tau_x = tau_x
self.__tau_y = tau_y
self.__synapse_structure = SynapseStructureWeightOnly()
ts = get_simulator().machine_time_step / 1000.0
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
self.__tau_x_data = get_exp_lut_array(ts, self.__tau_x, shift=2)
self.__tau_y_data = get_exp_lut_array(ts, self.__tau_y, shift=2)
def __init__(self, alpha, tau=default_parameters['tau']):
r"""
:param float alpha: :math:`\alpha`
:param float tau: :math:`\tau`
"""
self.__alpha = alpha
self.__tau = tau
self.__synapse_structure = SynapseStructureWeightOnly()
ts = get_simulator().machine_time_step
ts = ts / MICRO_TO_MILLISECOND_CONVERSION
self.__tau_data = get_exp_lut_array(ts, self.__tau)
def __init__(
self,
# TODO: update parameters
my_potentiation_parameter,
my_depression_parameter):
AbstractTimingDependence.__init__(self)
# TODO: Store any parameters
self._my_potentiation_parameter = my_potentiation_parameter
self._my_depression_parameter = my_depression_parameter
# TODO: Update to match the synapse structure in the C code
self._synapse_structure = SynapseStructureWeightOnly()
def __init__(self, tau_plus=20.0, tau_minus=20.0):
r"""
:param float tau_plus: :math:`\tau_+`
:param float tau_minus: :math:`\tau_-`
"""
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__synapse_structure = SynapseStructureWeightOnly()
# provenance data
ts = get_simulator().machine_time_step
ts = ts / MICRO_TO_MILLISECOND_CONVERSION
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
def __init__(
self,
# TODO: update parameters
my_potentiation_parameter,
my_depression_parameter,
A_plus=0.01,
A_minus=0.01):
# TODO: Store any parameters
self._my_potentiation_parameter = my_potentiation_parameter
self._my_depression_parameter = my_depression_parameter
# TODO: Update to match the synapse structure in the C code
self._synapse_structure = SynapseStructureWeightOnly()
# Are these in the c code?
self._a_plus = A_plus
self._a_minus = A_minus
def __init__(self,
alpha,
tau=default_parameters['tau'],
A_plus=0.01,
A_minus=0.01):
r"""
:param float alpha: :math:`\alpha`
:param float tau: :math:`\tau`
:param float A_plus: :math:`A^+`
:param float A_minus: :math:`A^-`
"""
self.__alpha = alpha
self.__tau = tau
self.__a_plus = A_plus
self.__a_minus = A_minus
self.__synapse_structure = SynapseStructureWeightOnly()
self.__tau_data = get_exp_lut_array(machine_time_step_ms(), self.__tau)
def __init__(self, tau_plus, tau_minus, tau_x, tau_y):
r"""
:param float tau_plus: :math:`\tau_+`
:param float tau_minus: :math:`\tau_-`
:param float tau_x: :math:`\tau_x`
:param float tau_y: :math:`\tau_y`
"""
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__tau_x = tau_x
self.__tau_y = tau_y
self.__synapse_structure = SynapseStructureWeightOnly()
ts = get_simulator().machine_time_step
ts = ts / MICRO_TO_MILLISECOND_CONVERSION
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
self.__tau_x_data = get_exp_lut_array(ts, self.__tau_x, shift=2)
self.__tau_y_data = get_exp_lut_array(ts, self.__tau_y, shift=2)
def __init__(self,
tau_plus=default_parameters['tau_plus'],
tau_minus=default_parameters['tau_minus'],
A_plus=0.01,
A_minus=0.01):
r"""
:param float tau_plus: :math:`\tau_+`
:param float tau_minus: :math:`\tau_-`
:param float A_plus: :math:`A^+`
:param float A_minus: :math:`A^-`
"""
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__a_plus = A_plus
self.__a_minus = A_minus
self.__synapse_structure = SynapseStructureWeightOnly()
ts = machine_time_step_ms()
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
def __init__(self, tau_plus, tau_minus, tau_x, tau_y, A_plus, A_minus):
r"""
:param float tau_plus: :math:`\tau_+`
:param float tau_minus: :math:`\tau_-`
:param float tau_x: :math:`\tau_x`
:param float tau_y: :math:`\tau_y`
:param float A_plus: :math:`A^+`
:param float A_minus: :math:`A^-`
"""
self.__tau_plus = tau_plus
self.__tau_minus = tau_minus
self.__tau_x = tau_x
self.__tau_y = tau_y
self.__a_plus = A_plus
self.__a_minus = A_minus
self.__synapse_structure = SynapseStructureWeightOnly()
ts = machine_time_step_ms()
self.__tau_plus_data = get_exp_lut_array(ts, self.__tau_plus)
self.__tau_minus_data = get_exp_lut_array(ts, self.__tau_minus)
self.__tau_x_data = get_exp_lut_array(ts, self.__tau_x, shift=2)
self.__tau_y_data = get_exp_lut_array(ts, self.__tau_y, shift=2)
def __init__(self, alpha, tau=default_parameters['tau']):
self._alpha = alpha
self._tau = tau
self._synapse_structure = SynapseStructureWeightOnly()