Source code for spynnaker8.models.connectors.fixed_number_pre_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/>.
import logging
from pyNN.connectors import (
FixedNumberPreConnector as PyNNFixedNumberPreConnector)
from spynnaker.pyNN.models.neural_projections.connectors import (
FixedNumberPreConnector as CommonFixedNumberPreConnector)
logger = logging.getLogger(__file__)
[docs]class FixedNumberPreConnector(CommonFixedNumberPreConnector,
PyNNFixedNumberPreConnector):
""" Connects a fixed number of pre-synaptic neurons selected at random,\
to all post-synaptic neurons
"""
__slots__ = []
def __init__(
self, n, allow_self_connections=True, safe=True, verbose=False,
with_replacement=False, rng=None, callback=None):
"""
:param n: \
number of random pre-synaptic neurons connected to post-neurons
:type n: int
: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.
:type allow_self_connections: bool
:param safe: \
Whether to check that weights and delays have valid values.\
If False, this check is skipped.
:type safe: bool
:param verbose: \
Whether to output extra information about the connectivity to a\
CSV file
:type verbose: bool
:param with_replacement:\
if False, once a connection is made, it can't be made again; if\
True, multiple connections between the same pair of neurons are\
allowed
:type with_replacement: bool
:param rng:
:param callback:
"""
# pylint: disable=too-many-arguments
super(FixedNumberPreConnector, self).__init__(
n=n, allow_self_connections=allow_self_connections,
with_replacement=with_replacement, safe=safe, verbose=verbose,
rng=rng)