See our latest eLife publication, "The rate of transient beta frequency events predicts behavior across tasks and species", at the follwing link https://elifesciences.org/articles/29086.
Visit http://hnn.brown.edu to join our mailing list and to receive the latest updates on Human Neocortical Neurosolver (HNN), our new software tool for circuit-level interpretation of MEG/EEG/ECoG. Our target for distribution of HNN is Spring 2018.
Scope of Work
Our lab combines experimental and theoretical techniques to study human brain dynamics. Our mission is to develop biophysically principled models of neural circuits that bridge electrophysiological measures of brain function to the underlying cellular and network level dynamics. We aim to translate an understanding of the network mechanism underlying measured brain signals into strategies to improve disrupt function.
We collect magneto- and electro-encephalography (MEG/EEG) non-invasively in human to study fine time scale signatures of information processing. We also collaborate closely with animal electrophysiologists and clinicians to develop data-constrained models that are translationally relevant. We apply this integrated approach to study healthy brain functions such as attention and perception, and neuropathologies including Essential Tremor and Parkinson's Disease. A current focus of our research is to understand the mechanisms and functions of commonly measured human brain rhythms and to develop rationally-designed electrical brain stimulation paradigms (DBS, tDCS, tACS) to improve brain functions.
Stephanie R. Jones, PhD. Principal Investigator
Funding provided by: