Source code for spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence.abstract_timing_dependence

# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

from spinn_utilities.abstract_base import (
    AbstractBase, abstractmethod, abstractproperty)

class AbstractTimingDependence(object, metaclass=AbstractBase):

    __slots__ = ()

[docs] @abstractmethod def is_same_as(self, timing_dependence): """ Determine if this timing dependence is the same as another. :param AbstractTimingDependence timing_dependence: :rtype: bool """
@abstractproperty def vertex_executable_suffix(self): """ The suffix to be appended to the vertex executable for this rule. :rtype: str """ @abstractproperty def pre_trace_n_bytes(self): """ The number of bytes used by the pre-trace of the rule per neuron. :rtype: int """
[docs] @abstractmethod def get_parameters_sdram_usage_in_bytes(self): """ Get the amount of SDRAM used by the parameters of this rule. :rtype: int """
@abstractproperty def n_weight_terms(self): """ The number of weight terms expected by this timing rule. :rtype: int """
[docs] @abstractmethod def write_parameters( self, spec, global_weight_scale, synapse_weight_scales): """ Write the parameters of the rule to the spec. :param ~data_specification.DataSpecificationGenerator spec: The specification to write to :param float global_weight_scale: The weight scale applied globally :param list(float) synapse_weight_scales: The total weight scale applied to each synapse including the global weight scale """
@abstractproperty def synaptic_structure(self): """ The synaptic structure of the plastic part of the rows. :rtype: AbstractSynapseStructure """
[docs] @abstractmethod def get_parameter_names(self): """ Return the names of the parameters supported by this timing dependency model. :rtype: iterable(str) """