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 …

Neuroscience is experiencing a revolution in which simultaneous recording of thousands of
neurons is revealing population dynamics that are not apparent from single-neuron …

Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have
achieved successful high-dimensional robotic device control useful for completing daily …

Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …

Neural activity exhibits complex dynamics related to various brain functions, internal states
and behaviors. Understanding how neural dynamics explain specific measured behaviors …

Perceptions, thoughts, and actions unfold over millisecond timescales, while learned
behaviors can require many days to mature. While recent experimental advances enable …

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 …

The ability to decode mood state over time from neural activity could enable closed-loop
systems to treat neuropsychiatric disorders. However, this decoding has not been …

To derive meaning from speech, we must extract multiple dimensions of concurrent
information from incoming speech signals. That is, equally important to processing phonetic …