Table 1. Experimental and simulation parameters and variables.

Parameter	Description
y	Normalized current (I) outputs of the drains, vector [ytarget,ynontarget]
d	Normalized current (I) that target drain is trained to reach (ytarget)
V o	Output (drain) voltages (1 × 2 vector)
I o	Nonnormalized output (drain) currents (1 × 2 vector)
V i	Input voltage (scalar)
β	Learning rate
λ	A state variable that parametrizes the conducting filament responsible for memristive switching
∆	Amount of adjustment required to Vo at each time step
b	Junction filament decay parameter (lower = slower decay)
Acc	Classification accuracy
Accθ	Accuracy threshold for reinforcement
θ	Reinforcement learning threshold, vector [θtarget,θnontarget]. Once the target output current (ytarget) reaches this threshold, it is considered trained for that sample.
θtest	Current threshold for testing used only in experimental setup. Once the current reaches this threshold, testing is halted.
incV al	Increase θtarget by incV al when Acc < Accθ
decV al	Decrease θnontarget by decV al when Acc < Accθ
x train	Input voltage during training
x test	Input voltage during testing, with xtest ≪ xtrain, so that new pathways are not formed during testing.