A Primer on Neural Signal Processing

The role of neural signal processing has become increasingly important in the field of neuroscience with the increase of complexity and scale in neural recordings. In neuroscience, neural signal processing is aimed to extract information from neural signals for the purpose of understanding how the brain represents and transmits information through neuronal ensembles. In neural engineering, neural signal processing is aimed to read out neural signals to send neurofeedback to the brain or computer devices that assist or facilitate brain-machine communications. Here we provide a short review of neural signal processing on important principles and state-of-the-art research. Through representative examples, we illustrate how statistical signal processing can be applied to many diverse neuroscience applications.