Objective. Spike sorting is a set of techniques used to analyze extracellular neural
recordings, attributing individual spikes to individual neurons. This field has gained …

The meaning behind neural single unit activity has constantly been a challenge, so it will
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …

Spike sorting is a technique used to detect signals generated by the neurons of the brain
and to classify which spike belongs to which neurons. Spike sorting is one of the most …

Objective. Deep learning is increasingly permeating neuroscience, leading to a rise in signal-
processing applications for extracellular recordings. These signals capture the activity of …

Accurate spike sorting is vital for understanding the neural network dynamics of the brain
through extracellular neural recordings. Traditional feature extraction methods like the Haar …

Objective. Spike sorting is the process of extracting neuronal action potentials, or spikes,
from an extracellular brain recording, and assigning each spike to its putative source …

In this paper, we propose three novel linear filter design methods for use in a multi-pattern
recognition task with overlapping patterns and strong peak interferers. The recognition is …

Sorting overlapping spikes is a key problem in spike classification. The overlapping spikes
not only affect the accuracy of spike classification, but also interfere with correct information …