Source code for spynnaker.pyNN.models.neuron.synapse_types.synapse_type_delta

# Copyright (c) 2017-2019 The University of Manchester
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <>.

from spinn_utilities.overrides import overrides
from data_specification.enums import DataType
from .abstract_synapse_type import AbstractSynapseType

ISYN_EXC = "isyn_exc"
ISYN_INH = "isyn_inh"

    ISYN_EXC: "",
    ISYN_EXC: ""

[docs]class SynapseTypeDelta(AbstractSynapseType): """ This represents a synapse type with two delta synapses """ __slots__ = [ "__isyn_exc", "__isyn_inh"] def __init__(self, isyn_exc, isyn_inh): """ :param isyn_exc: :math:`I^{syn}_e` :type isyn_exc: float, iterable(float), ~pyNN.random.RandomDistribution or (mapping) function :param isyn_inh: :math:`I^{syn}_i` :type isyn_inh: float, iterable(float), ~pyNN.random.RandomDistribution or (mapping) function """ super().__init__([ DataType.S1615, # isyn_exc DataType.S1615]) # isyn_inh self.__isyn_exc = isyn_exc self.__isyn_inh = isyn_inh
[docs] @overrides(AbstractSynapseType.get_n_cpu_cycles) def get_n_cpu_cycles(self, n_neurons): return 1 * n_neurons
[docs] @overrides(AbstractSynapseType.add_parameters) def add_parameters(self, parameters): pass
[docs] @overrides(AbstractSynapseType.add_state_variables) def add_state_variables(self, state_variables): state_variables[ISYN_EXC] = self.__isyn_exc state_variables[ISYN_INH] = self.__isyn_inh
[docs] @overrides(AbstractSynapseType.get_units) def get_units(self, variable): return UNITS[variable]
[docs] @overrides(AbstractSynapseType.has_variable) def has_variable(self, variable): return variable in UNITS
[docs] @overrides(AbstractSynapseType.get_values) def get_values(self, parameters, state_variables, vertex_slice, ts): # Add the rest of the data return [state_variables[ISYN_EXC], state_variables[ISYN_INH]]
[docs] @overrides(AbstractSynapseType.update_values) def update_values(self, values, parameters, state_variables): # Read the data (isyn_exc, isyn_inh) = values state_variables[ISYN_EXC] = isyn_exc state_variables[ISYN_INH] = isyn_inh
[docs] @overrides(AbstractSynapseType.get_n_synapse_types) def get_n_synapse_types(self): return 2
[docs] @overrides(AbstractSynapseType.get_synapse_id_by_target) def get_synapse_id_by_target(self, target): if target == "excitatory": return 0 elif target == "inhibitory": return 1 return None
[docs] @overrides(AbstractSynapseType.get_synapse_targets) def get_synapse_targets(self): return "excitatory", "inhibitory"
@property def isyn_exc(self): return self.__isyn_exc @property def isyn_inh(self): return self.__isyn_inh