Source code for spynnaker8.models.connectors.fixed_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 (
    FixedProbabilityConnector as PyNNFixedProbabilityConnector)
from spynnaker.pyNN.models.neural_projections.connectors import (
    FixedProbabilityConnector as CommonFixedProbabilityConnector)

[docs]class FixedProbabilityConnector( CommonFixedProbabilityConnector, PyNNFixedProbabilityConnector): """ For each pair of pre-post cells, the connection probability is \ constant. """ __slots__ = [] def __init__( self, p_connect, allow_self_connections=True, safe=True, verbose=False, rng=None, callback=None): """ :param float p_connect: a number between zero and one. Each potential connection is created with this probability. :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 bool safe: if True, check that weights and delays have valid values. If False, this check is skipped. :param space: a Space object, needed if you wish to specify distance-dependent weights or delays - not implemented :param bool verbose: Whether to output extra information about the connectivity to a CSV file :param rng: random number generator :type rng: ~pyNN.random.NumpyRNG or None :param callable callback: if given, a callable that display a progress bar on the terminal. .. note:: Not supported by sPyNNaker. """ # pylint: disable=too-many-arguments CommonFixedProbabilityConnector.__init__( self, p_connect=p_connect, allow_self_connections=allow_self_connections, safe=safe, verbose=verbose, rng=rng) PyNNFixedProbabilityConnector.__init__( self, p_connect=p_connect, callback=callback, allow_self_connections=allow_self_connections, rng=rng, safe=safe) @property def p_connect(self): return self._p_connect @p_connect.setter def p_connect(self, new_value): self._p_connect = new_value