Source code for spynnaker8.models.connectors.from_list_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 Connector
from spynnaker.pyNN.models.neural_projections.connectors import (
FromListConnector as CommonFromListConnector)
[docs]class FromListConnector(CommonFromListConnector, Connector):
""" Make connections according to a list.
"""
__slots__ = []
def __init__(
self, conn_list, safe=True, verbose=False, column_names=None,
callback=None):
"""
:param conn_list: \
a list of tuples, one tuple for each connection. Each tuple\
should contain: `(pre_idx, post_idx, p1, p2, ..., pn)` where\
`pre_idx` is the index (i.e. order in the Population, not the ID)\
of the presynaptic neuron, `post_idx` is the index of the\
postsynaptic neuron, and `p1`, `p2`, etc. are the synaptic\
parameters (e.g., weight, delay, plasticity parameters).
:param column_names: \
the names of the parameters p1, p2, etc. If not provided, it is\
assumed the parameters are weight, delay (for\
backwards compatibility).
:param safe: \
if True, check that weights and delays have valid values. If\
False, this check is skipped.
:param callback: \
if given, a callable that display a progress bar on the terminal.
"""
CommonFromListConnector.__init__(
self, conn_list=conn_list, safe=safe, verbose=verbose,
column_names=column_names)
Connector.__init__(self, safe=safe, callback=callback)