Recent work has revealed that the neural activity patterns correlated with sensation,
cognition, and action often are not stable and instead undergo large scale changes over …

The brain extracts behaviourally relevant sensory input to produce appropriate motor output.
On the one hand, our constantly changing environment requires this transformation to be …

Animals readily execute learned behaviors in a consistent manner over long periods of time,
and yet no equally stable neural correlate has been demonstrated. How does the cortex …

Neuronal representations change as associations are learned between sensory stimuli and
behavioral actions. However, it is poorly understood whether representations for learned …

To produce consistent sensory perception, neurons must maintain stable representations of
sensory input. However, neurons in many regions exhibit progressive drift across days …

The instability of neural recordings can render clinical brain–computer interfaces (BCIs)
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …

“Neural coding” is a popular metaphor in neuroscience, where objective properties of the
world are communicated to the brain in the form of spikes. Here I argue that this metaphor is …

Brain–computer interfaces (BCIs) enable control of assistive devices in individuals with
severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor …

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 …

Objective. Intracortical brain–computer interfaces (BCIs) are being developed to assist
people with motor disabilities in communicating and interacting with the world around them …