Microelectrode arrays and microprobes have been widely utilized to measure neuronal
activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate …

Objective This study seeks to systematically review the selection of features and algorithms
for machine learning and automation in deep brain stimulation surgery (DBS) for Parkinson's …

The spike represents the fundamental bit of information transmitted by the neurons within a
network in order to communicate. Then, given the importance of the spike rate as well as the …

Eye-blinks are known to substantially contaminate EEG signals, and thereby severely impact
the decoding of EEG signals in various medical and scientific applications. In this work, we …

Eye blinks are one of the most influential artifact sources in electroencephalogram (EEG)
recorded from frontal channels, and thereby detecting and rejecting eye blink artifacts is …

Spike sorting, ie, the separation of the firing activity of different neurons from extracellular
measurements, is a crucial but often error-prone step in the analysis of neuronal responses …

Objective Develop a high-performing algorithm to detect mesial temporal lobe (mTL)
epileptiform discharges on intracranial electrode recordings. Methods An epileptologist …

Background The progress in microtechnology has enabled an exponential trend in the
number of neurons that can be simultaneously recorded. The data bandwidth requirement is …

Objective. In electrophysiology, microelectrodes are the primary source for recording neural
data (single unit activity). These microelectrodes can be implanted individually or in the form …

Next generation neural interfaces aspire to achieve real-time multi-channel systems by
integrating spike sorting on chip to overcome limitations in communication channel capacity …