The goal of this paper is to present a theoretical and practical introduction to generalized
eigendecomposition (GED), which is a robust and flexible framework used for dimension …

A central goal of systems neuroscience is to relate an organism's neural activity to behavior.
Neural population analyses often reduce the data dimensionality to focus on relevant activity …

Spike sorting–the process of separating spikes from different neurons–is often the first and
most critical step in the neural data analysis pipeline. Spike-sorting techniques isolate a …

Advances in electroencephalography (EEG) equipment now allow monitoring of people with
epilepsy in their daily-life environment. The large volumes of data that can be collected from …

A common problem in neural recordings is the low signal-to-noise ratio (SNR), particularly
when using non-invasive techniques like magneto-or electroencephalography (M/EEG). To …

Objective. The aim of this paper is to present a novel method for simultaneous spike
waveforms extraction and sorting from the raw recorded signal. The objective is twofold: on …

Background Damage to the hippocampus will result in the loss of ability to form new long-
term memories and cognitive disorders. At present, there is no effective medical treatment for …

Recent technical advancements in neural engineering allow for precise recording and
control of neural circuits simultaneously, opening up new opportunities for closed-loop …

This article proposes an unsupervised online spike sorter, dedicated to brain-implantable
neural recording microsystems. The main (online) spike sorting phase in the proposed …

Objective. For intracortical neurophysiological studies, spike sorting is an important
procedure to isolate single units for analyzing specific functions. However, whether spike …