PyNN support about neuronunit HOT 6 CLOSED

class pyNNNEURON(Backend):
    def init_backend(self, attrs=None):
        from pyNN.utility import get_simulator#, init_logging, normalized_filename                                                                                                                                                                                                         
        import pyNN
        self.sim = pyNN.neuron
        self.neurons = None
        self.model_path = None
        self.related_data = {}
        self.lookup = {}
        self.attrs = {}
    backend = 'pyNN'
    from numpy import arange
    self.sim.setup(timestep=0.01, min_delay=1.0)                                                                                                                                                                                                                    |
    self.neurons = sim.Population(1, sim.Izhikevich(a=0.02, b=0.2, c=-65, d=6, i_offset=[0.014, 0.0, 0.0]))

    def get_membrane_potential(self):
        data = self.neurons.get_data().segments[0]                                                                             
        v = data.filter(name="v")[0]

    def local_run(self):
        self.neurons.record(['v'])  # , 'u'])
        self.neurons.initialize(v=-70.0, u=-14.0)
        self.sim.run(100.0)

    def set_attrs(self, **attrs):
        self.model.attrs.update(attrs)
        assert type(self.model.attrs) is not type(None)
        self.neurons = sim.Population(1, sim.Izhikevich(a=attrs['a'], b=attrs['b'], c=attrs['c'], d=attrs['d'], i_offset=[0.014, 0.0, 0.0]))
        return self

    def inject_square_current(self, current):
        c = current['injected_square_current']
        stop = c['delay']+c['duration']
        amplitude = current[]
        electrode = self.sim.DCSource(start=c['delay'], stop=stop, amplitude=c['amplitude'])
        electrode.inject_into(self.neurons[1])