Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …

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

Multiple factors simultaneously affect the spiking activity of individual neurons. Determining
the effects and relative importance of these factors is a challenging problem in …

Brain–machine interfaces (BMIs) create closed-loop control systems that interact with the
brain by recording and modulating neural activity and aim to restore lost function, most …

Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

The hippocampus is essential for learning complex spatial relationships, but little is known
about how hippocampal neural activity changes as animals learn about a novel …

Effective neural motor prostheses require a method for decoding neural activity representing
desired movement. In particular, the accurate reconstruction of a continuous motion signal is …

The central autonomic network (CAN) has been described in animal models but has been
difficult to elucidate in humans. Potential confounds include physiological noise artifacts …

Neurons in the neocortex code and compute as part of a locally interconnected population.
Large-scale multi-electrode recording makes it possible to access these population …

Heart rate is a vital sign, whereas heart rate variability is an important quantitative measure
of cardiovascular regulation by the autonomic nervous system. Although the design of …