Source code for spynnaker.pyNN.models.neuron.threshold_types.threshold_type_static
# Copyright (c) 2015 The University of Manchester
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from spinn_utilities.overrides import overrides
from spinn_utilities.ranged import RangeDictionary
from spinn_front_end_common.interface.ds import DataType
from spynnaker.pyNN.models.neuron.implementations import ModelParameter
from spynnaker.pyNN.utilities.struct import Struct
from .abstract_threshold_type import AbstractThresholdType
V_THRESH = "v_thresh"
class ThresholdTypeStatic(AbstractThresholdType):
"""
A threshold that is a static value.
"""
__slots__ = ("__v_thresh", )
def __init__(self, v_thresh: ModelParameter):
"""
:param v_thresh: :math:`V_{thresh}`
:type v_thresh: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
"""
super().__init__(
[Struct([(DataType.S1615, V_THRESH)])],
{V_THRESH: "mV"})
self.__v_thresh = v_thresh
[docs]
@overrides(AbstractThresholdType.add_parameters)
def add_parameters(self, parameters: RangeDictionary[float]):
parameters[V_THRESH] = self._convert(self.__v_thresh)
[docs]
@overrides(AbstractThresholdType.add_state_variables)
def add_state_variables(self, state_variables: RangeDictionary[float]):
pass
@property
def v_thresh(self) -> ModelParameter:
"""
:math:`V_{thresh}`
"""
return self.__v_thresh