Decoding Neuronal Activity Using a Deep Neural Network to Predict Knob Supination Success

Intracortical microelectrode arrays enable the acquisition of signals generated from individual neurons, offering a level of specificity and granularity that is highly useful in many applications. For example, these signals can be used as input to decoding algorithms which aim to estimate intent during volitional motor tasks in order to provide control signals for neuroprostheses. Previous studies...