Spike Sorting Based On Low-Rank And Sparse Representation

As the first step to study the coding mechanism and synergistic behaviour of neurons, spike sorting plays an important role in the neurosciences research community. Despite many empirical successes in spike sorting models, there are still sufferings from the overlapping and noise corruption problems. To ease these situations, in this paper, we present an efficient and effective method with the help of optimization theory. Firstly, by introducing...