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 …

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 …

Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …

Motor function depends on neural dynamics spanning multiple spatiotemporal scales of
population activity, from spiking of neurons to larger-scale local field potentials (LFP). How …

Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …

Objective. Developing dynamic network models for multisite electrocorticogram (ECoG)
activity can help study neural representations and design neurotechnologies in humans …

Objective. Extracting and modeling the low-dimensional dynamics of multi-site
electrocorticogram (ECoG) network activity is important in studying brain functions and …

Objective. Dynamic latent state models are widely used to characterize the dynamics of
brain network activity for various neural signal types. To date, dynamic latent state models …

Objective. Realizing neurotechnologies that enable long-term neural recordings across
multiple spatial-temporal scales during naturalistic behaviors requires new modeling and …