Brain machine interface (BMI) design can be achieved by training linear and nonlinear
models with simultaneously recorded cortical neural activity and goal directed behavior …

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

The rich repertoire of skilled mammalian behavior is the product of neural circuits that
generate robust and flexible patterns of activity distributed across populations of neurons …

A body of recent work in modeling neural activity focuses on recovering low-dimensional
latent features that capture the statistical structure of large-scale neural populations. Most …

Decades of brain imaging experiments have revealed important insights into the architecture
of the human brain and the detailed anatomic basis for the neural dynamics supporting …

Even in the absence of sensory stimulation the brain is spontaneously active. This
background “noise” seems to be the dominant cause of the notoriously high trial-to-trial …

Meaningful and simplified representations of neural activity can yield insights into how and
what information is being processed within a neural circuit. However, without labels, finding …

Motor cortex neuronal ensemble spiking activity exhibits strong low-dimensional collective
dynamics (ie, coordinated modes of activity) during behavior. Here, we demonstrate that …

This review article gives a high-level overview of the approaches across different scales of
organization and levels of abstraction. The studies covered in this paper include …

Most human neuroscience research to date has focused on statistical approaches that
describe stationary patterns of localized neural activity or blood flow. While these patterns …