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 …

Primary motor cortex has been studied for more than a century, yet a consensus on its
functional contribution to movement control is still out of reach. In particular, there remains …

Neural activity in monkey motor cortex (M1) and dorsal premotor cortex (PMd) can reflect a
chosen movement well before that movement begins. The pattern of neural activity then …

One of the major challenges in system neurosciences consists in developing techniques for
estimating the cognitive information content in brain activity. This has an enormous potential …

Millions of neurons drive the activity of hundreds of muscles, meaning many different neural
population activity patterns could generate the same movement. Studies have suggested …

Objective. Neural decoding is an important tool in neural engineering and neural data
analysis. Of various machine learning algorithms adopted for neural decoding, the recently …

Neural prostheses decode intention from cortical activity to restore upper extremity
movement. Typical decoding algorithms extract velocity—a vector quantity with direction and …

It has been widely recognized that closed-loop neuroprosthetic systems achieve more
favorable outcomes for users then equivalent open-loop devices. Improved performance of …

Brain-computer interfaces (BCIs) have the potential to restore hand movement for people
with paralysis, but current devices still lack the fine control required to interact with objects of …

The mechanisms underlying the emergence of learned motor skill representation in primary
motor cortex (M1) are not well understood. Specifically, how motor representation in the …