Neurointerfaces have acquired major relevance as both rehabilitative and therapeutic tools
for patients with spinal cord injury, limb amputations and other neural disorders …

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 …

Detection of interictal epileptic discharges (IED) events in the EEG recordings is a critical
indicator for detecting and diagnosing epileptic seizures. We propose a key technology to …

The current trend for implantable Brain Machine Interfaces (BMIs) is to increase the channel
count, towards next generation devices that improve on information transfer rate. This …

The optokinetic reflex is a closed-loop gaze-stabilizing ocular motor reaction that minimizes
residual retinal image slip during vestibulo-ocular reflexes. In experimental isolation, the …

Real time on-chip spike detection is the first step in decoding neural spike trains in
implantable brain machine interface systems. Nonlinear Energy Operator (NEO) is a …

Objective. Detection and sorting (classification) of action potentials from extracellular
recordings are two important pre-processing steps for brain–computer interfaces (BCIs) and …

Implantable microelectrodes arrays are used to record electrical signals from surrounding
neurons and have led to incredible improvements in modern neuroscience research. Digital …

Spike sorting plays a pivotal role in neuroscience, serving as a crucial step of separating
electrical signals recorded from multiple neurons to further analyze neuronal interactions …

With the sensor scaling of next-generation Brain-Machine Interface (BMI) systems, the
massive A/D conversion and analog multiplexing at the neural frontend poses a challenge in …