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
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# 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 <http://www.gnu.org/licenses/>.
from pyNN.connectors import (
FixedProbabilityConnector as PyNNFixedProbabilityConnector)
from spynnaker.pyNN.models.neural_projections.connectors import (
FixedProbabilityConnector as CommonFixedProbabilityConnector)
[docs]class FixedProbabilityConnector(
CommonFixedProbabilityConnector, PyNNFixedProbabilityConnector):
"""
"""
__slots__ = []
def __init__(
self, p_connect, allow_self_connections=True, safe=True,
verbose=False, rng=None, callback=None):
""" For each pair of pre-post cells, the connection probability is\
constant.
:param p_connect: a number between zero and one. Each potential\
connection is created with this probability.
:type p_connect: float
:param 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 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 verbose:
:param rng:
:param callback:
"""
# 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