Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

The intracerebral local field potential (LFP) is a measure of brain activity that reflects the
highly dynamic flow of information across neural networks. This is a composite signal that …

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 …

Local field potentials (LFPs) are of growing importance in neurophysiological investigations.
LFPs supplement action potential recordings by indexing activity relevant to EEG …

The ongoing pilot clinical trial of the BrainGate neural interface system aims in part to assess
the feasibility of using neural activity obtained from a small-scale, chronically implanted …

Implantable neural interfaces for central nervous system research have been designed with
wire, polymer, or micromachining technologies over the past 70 years. Research on …

Localizing neuronal patterns that generate pathological brain signals may assist with tissue
resection and intervention strategies in patients with neurological diseases. Precise …

Recordings of extracellular electrical, and later also magnetic, brain signals have been the
dominant technique for measuring brain activity for decades. The interpretation of such …

Electrical extracellular recordings, ie, recordings of the electrical potentials in the
extracellular medium between cells, have been a main work-horse in electrophysiology for …

The striatum and the subthalamic nucleus (STN) constitute the input stage of the basal
ganglia (BG) network and together innervate BG downstream structures using GABA and …