Source code for spynnaker8.models.connectors.distance_dependent_probability_connector

# 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 pyNN.connectors import (
    DistanceDependentProbabilityConnector as
from spynnaker.pyNN.models.neural_projections.connectors import (
    DistanceDependentProbabilityConnector as

[docs]class DistanceDependentProbabilityConnector( CommonDistanceDependentProbabilityConnector, PyNNDistanceDependentProbabilityConnector): """ Make connections using a distribution which varies with distance. """ __slots__ = [] def __init__( self, d_expression, allow_self_connections=True, safe=True, verbose=False, n_connections=None, rng=None, callback=None): """ :param `string` d_expression: \ the right-hand side of a valid python expression for\ probability, involving 'd', e.g. "exp(-abs(d))", or "d<3",\ that can be parsed by eval(), that computes the distance\ dependent distribution :param `bool` allow_self_connections: \ if the connector is used to connect a\ Population to itself, this flag determines whether a neuron is\ allowed to connect to itself, or only to other neurons in the\ Population. :param `int` n_connections: \ The number of efferent synaptic connections per neuron. :param safe: if True, check that weights and delays have valid\ values. If False, this check is skipped. """ # pylint: disable=too-many-arguments CommonDistanceDependentProbabilityConnector.__init__( self, d_expression=d_expression, allow_self_connections=allow_self_connections, safe=safe, verbose=verbose, n_connections=n_connections) PyNNDistanceDependentProbabilityConnector.__init__( self, d_expression=d_expression, allow_self_connections=allow_self_connections, rng=rng, safe=safe, callback=callback)