STDP

STDP(
    self,
    tau_plus=20.0,
    tau_minus=20.0,
    A_plus=0.01,
    A_minus=0.01,
    w_min=0.0,
    w_max=1.0,
)

Spike-timing dependent plasticity, online version.

Song, S., and Abbott, L.F. (2001). Cortical development and remapping through spike timing-dependent plasticity. Neuron 32, 339-350.

Equivalent code:

STDP = ann.Synapse(
    parameters = dict(
        tau_plus = 20.0,
        tau_minus = 20.0,
        A_plus = 0.01,
        A_minus = 0.01,
        w_min = 0.0,
        w_max = 1.0,
    ),
    equations = [
        ann.Variable('tau_plus  * dx/dt = -x', method='event-driven'),
        ann.Variable('tau_minus * dy/dt = -y', method='event-driven'),
    ],
    pre_spike="""
        g_target += w
        x += A_plus * w_max
        w = clip(w + y, w_min , w_max)
    """,
    post_spike="""
        y -= A_minus * w_max
        w = clip(w + x, w_min , w_max)
    """
)

Parameters

Name	Type	Description	Default
tau_plus		time constant of the pre-synaptic trace (ms)	20.0
tau_minus		time constant of the pre-synaptic trace (ms)	20.0
A_plus		increase of the pre-synaptic trace after a spike.	0.01
A_minus		decrease of the post-synaptic trace after a spike.	0.01
w_min		minimal value of the weight w.	0.0
w_max		maximal value of the weight w.	1.0