Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

Nearly all brain functions involve routing neural activity among a distributed network of
areas. Understanding this routing requires more than a description of interareal anatomical …

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

Neural activity is often described in terms of population-level factors extracted from the
responses of many neurons. Factors provide a lower-dimensional description with the aim of …

Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …

Brain function relies on the coordination of activity across multiple, recurrently connected
brain areas. For instance, sensory information encoded in early sensory areas is relayed to …

Decades after the motor homunculus was first proposed, it is still unknown how different
body parts are intermixed and interrelated in human motor cortical areas at single-neuron …

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 …

Biological systems face dynamic environments that require continual learning. It is not well
understood how these systems balance the tension between flexibility for learning and …

Brain-computer interfaces have so far focused largely on enabling the control of a single
effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion …