# Copyright (c) 2017 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_front_end_common.interface.ds import DataType
from .abstract_synapse_type import AbstractSynapseType
from spynnaker.pyNN.utilities.struct import Struct
from spynnaker.pyNN.data import SpynnakerDataView
TAU_SYN_E = 'tau_syn_E'
TAU_SYN_E2 = 'tau_syn_E2'
TAU_SYN_I = 'tau_syn_I'
ISYN_EXC = "isyn_exc"
ISYN_EXC2 = "isyn_exc2"
ISYN_INH = "isyn_inh"
MULTIPLICATOR = "multiplicator"
EXC2_OLD = "exc2_old"
SCALING_FACTOR = "scaling_factor"
TIMESTEP_MS = "timestep_ms"
class SynapseTypeSEMD(AbstractSynapseType):
__slots__ = [
"__tau_syn_E",
"__tau_syn_E2",
"__tau_syn_I",
"__isyn_exc",
"__isyn_exc2",
"__isyn_inh",
"__multiplicator",
"__exc2_old",
"__scaling_factor"]
def __init__(
self, tau_syn_E, tau_syn_E2, tau_syn_I, isyn_exc, isyn_exc2,
isyn_inh, multiplicator, exc2_old, scaling_factor):
r"""
:param tau_syn_E: :math:`\tau^{syn}_{e_1}`
:type tau_syn_E: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param tau_syn_E2: :math:`\tau^{syn}_{e_2}`
:type tau_syn_E2: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param tau_syn_I: :math:`\tau^{syn}_i`
:type tau_syn_I: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param isyn_exc: :math:`I^{syn}_{e_1}`
:type isyn_exc: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param isyn_exc2: :math:`I^{syn}_{e_2}`
:type isyn_exc2: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param isyn_inh: :math:`I^{syn}_i`
:type isyn_inh: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param multiplicator:
:type multiplicator: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param exc2_old:
:type exc2_old: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
:param scaling_factor:
:type scaling_factor: float or iterable(float) or
~spynnaker.pyNN.RandomDistribution or (mapping) function
"""
super().__init__(
[Struct([
(DataType.S1615, TAU_SYN_E),
(DataType.S1615, ISYN_EXC),
(DataType.S1615, TAU_SYN_E2),
(DataType.S1615, ISYN_EXC2),
(DataType.S1615, TAU_SYN_I),
(DataType.S1615, ISYN_INH),
(DataType.S1615, MULTIPLICATOR),
(DataType.S1615, EXC2_OLD),
(DataType.S1615, SCALING_FACTOR),
(DataType.S1615, TIMESTEP_MS)])],
{TAU_SYN_E: "mV", TAU_SYN_E2: "mV", TAU_SYN_I: 'mV', ISYN_EXC: "",
ISYN_EXC2: "", ISYN_INH: "", MULTIPLICATOR: "", EXC2_OLD: "",
SCALING_FACTOR: ""})
self.__tau_syn_E = tau_syn_E
self.__tau_syn_E2 = tau_syn_E2
self.__tau_syn_I = tau_syn_I
self.__isyn_exc = isyn_exc
self.__isyn_exc2 = isyn_exc2
self.__isyn_inh = isyn_inh
self.__multiplicator = multiplicator
self.__exc2_old = exc2_old
self.__scaling_factor = scaling_factor
[docs]
@overrides(AbstractSynapseType.add_parameters)
def add_parameters(self, parameters):
parameters[TAU_SYN_E] = self.__tau_syn_E
parameters[TAU_SYN_E2] = self.__tau_syn_E2
parameters[TAU_SYN_I] = self.__tau_syn_I
parameters[TIMESTEP_MS] = (
SpynnakerDataView.get_simulation_time_step_ms())
parameters[SCALING_FACTOR] = self.__scaling_factor
[docs]
@overrides(AbstractSynapseType.add_state_variables)
def add_state_variables(self, state_variables):
state_variables[ISYN_EXC] = self.__isyn_exc
state_variables[ISYN_EXC2] = self.__isyn_exc2
state_variables[ISYN_INH] = self.__isyn_inh
state_variables[EXC2_OLD] = self.__exc2_old
state_variables[MULTIPLICATOR] = self.__multiplicator
[docs]
@overrides(AbstractSynapseType.get_n_synapse_types)
def get_n_synapse_types(self):
return 3
[docs]
@overrides(AbstractSynapseType.get_synapse_id_by_target)
def get_synapse_id_by_target(self, target):
if target == "excitatory":
return 0
elif target == "excitatory2":
return 1
elif target == "inhibitory":
return 2
return None
[docs]
@overrides(AbstractSynapseType.get_synapse_targets)
def get_synapse_targets(self):
return "excitatory", "excitatory2", "inhibitory"
@property
def tau_syn_E(self):
return self.__tau_syn_E
@property
def tau_syn_E2(self):
return self.__tau_syn_E2
@property
def tau_syn_I(self):
return self.__tau_syn_I
@property
def isyn_exc(self):
return self.__isyn_exc
@property
def isyn_inh(self):
return self.__isyn_inh
@property
def isyn_exc2(self):
return self.__isyn_exc2
@property
def multiplicator(self):
return self.__multiplicator
@property
def exc2_old(self):
return self.__exc2_old
@property
def scaling_factor(self):
return self.__scaling_factor