Jones Lab
Bridging Experimental and Computational Neuroscience to Study Human Brain Dynamics


About Us

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, and we have turned our modeling of E/MEG into a user-friendly software tool, Human Neocortical Neurosolver. 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. 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 (TMS, tDCS, tACS) to improve brain functions.

We are thrilled and honored to that Dr. Jones recently won the Biomag 2020 Mid Career Award for her work on biologically-principled mathematical and computational models of MEG/EEG. You can learn more about this work in Dr. Jones’ presentation here and in a recent presentation at the 2020 Allen Institute Modeling workshop. See also a recent presentation by Dr. Jones on the use of HNN for neuromodulations (presented at the NYC Neuromodulation 2020) and her keynote presentation at BrainStim 2020.



Stephanie R. Jones, PhD
Principal Investigator
Associate Professor of Neuroscience
Brown University



We're hiring! Join our team

A postdoctoral / software engineer position is open to help us advance our Human Neocortical Neurosolver software. Please check out the hiring ad at https://hnn.brown.edu/index.php/join-our-team/ for further information and share with colleagues who may be interested in joining our dynamic team.