Topic: discriminative subspace learning

The task of sorting spikes from extracellular recordings is pivotal for analyzing meaningful spike trains associated with behavioral responses, stimulation effects, and various other phenomena. This process, however, is significantly challenged by the presence of overlapping spikes, which result from neurons firing either simultaneously or within very short intervals. Such overlapping spikes are frequently disregarded in numerous studies due to the complexities in discerning individual neuronal activities and the lack of a definitive ground truth. In this research, we introduce a novel approac