Niklas Dexheimer

Spike-timing-dependent Hebbian learning as noisy gradient descent

Hebbian learning is a key principle underlying learning in biological neural networks. We relate a Hebbian spike-timing-dependent plasticity rule to noisy gradient descent with respect to a non-convex loss function on the probability simplex. Despite the constant injection of noise and the non-conve…