 This paper presents the first example of interfacing a hardware-based pattern classifier with a biological nerve. It uses an organic electrochemical spiking neuron to translate the classifier's output to a simulated action potential, which is then used to stimulate muscle contractions selectively based on the input pattern. This work paves the way for the development of adaptive neural interfaces for closed-loop therapeutic systems. This article was authored by Jennifer Y. Gerasimov, DU2, Vivek Hitashi, and others.