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
# 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 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)