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 …

Objective. Closed-loop experiments, in which causal interventions are conditioned on the
state of the system under investigation, have become increasingly common in neuroscience …

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 …

The ability to record activities from hundreds of neurons simultaneously in the brain has
placed an increasing demand for develo** appropriate statistical techniques to analyze …

Objective. Motor neural interface systems (NIS) aim to convert neural signals into motor
prosthetic or assistive device control, allowing people with paralysis to regain movement or …

Highlights•Modern recording technologies are creating data at a scale and complexity that
demand rigorous data analytical approaches.•Neural data science is an essential bridge …

Relating neural activity to behavior requires an understanding of how neural computations
arise from the coordinated dynamics of distributed, recurrently connected neural …

Intracortical brain computer interfaces (iBCIs) are being developed to enable people to drive
an output device, such as a computer cursor, directly from their neural activity. One goal of …

Modern recording technologies now enable simultaneous recording from large numbers of
neurons. This has driven the development of new statistical models for analyzing and …