Source code for spynnaker8.models.synapse_dynamics.synapse_dynamics_stdp

# 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 spinn_front_end_common.utilities import globals_variables
from spynnaker.pyNN.models.neuron.synapse_dynamics import (
    SynapseDynamicsSTDP as
    _BaseClass)

TIME_STAMP_BYTES = 4
# When not using the MAD scheme, how many pre-synaptic events are buffered
NUM_PRE_SYNAPTIC_EVENTS = 4


class SynapseDynamicsSTDP(_BaseClass):
    __slots__ = [
        "__delay",
        "__weight"]

    def __init__(
            self, timing_dependence, weight_dependence,
            voltage_dependence=None, dendritic_delay_fraction=1.0,
            weight=0.0, delay=None):
        # pylint: disable=too-many-arguments

        # move data from timing to weight dependence over as needed to reflect
        # standard structure underneath

        a_plus = timing_dependence.A_plus
        a_minus = timing_dependence.A_minus
        weight_dependence.set_a_plus_a_minus(a_plus=a_plus, a_minus=a_minus)

        if delay is None:
            delay = globals_variables.get_simulator().min_delay

        # instantiate common functionality.
        super(SynapseDynamicsSTDP, self).__init__(
            timing_dependence=timing_dependence,
            weight_dependence=weight_dependence,
            voltage_dependence=voltage_dependence,
            dendritic_delay_fraction=dendritic_delay_fraction)

        self.__weight = weight
        self.__delay = delay

    @property
    def weight(self):
        return self.__weight

    @weight.setter
    def weight(self, new_value):
        self.__weight = new_value

    @property
    def delay(self):
        return self.__delay

    @delay.setter
    def delay(self, new_value):
        self.__delay = new_value