Source code for spynnaker8.models.connectors.one_to_one_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.random import RandomDistribution
from pyNN.connectors import OneToOneConnector as PyNNOneToOneConnector
from spynnaker.pyNN.models.neural_projections.connectors import (
OneToOneConnector as
CommonOneToOneConnector)
[docs]class OneToOneConnector(CommonOneToOneConnector, PyNNOneToOneConnector):
"""
Where the pre- and postsynaptic populations have the same size, connect\
cell *i* in the presynaptic population to cell *i* in the postsynaptic\
population for all *i*.
"""
__slots__ = []
def __init__(self, safe=True, callback=None):
"""
:param bool safe: if True, check that weights and delays have valid
values. If False, this check is skipped.
:param callable callback: a function that will be called with the
fractional progress of the connection routine. An example would
be `progress_bar.set_level`.
.. note::
Not supported by sPyNNaker.
"""
CommonOneToOneConnector.__init__(
self, safe=safe, random_number_class=RandomDistribution)
PyNNOneToOneConnector.__init__(self, safe=safe, callback=callback)