Professor of Neuroscience
My research integrates human brain imaging and computational neuroscience methods to study brain dynamics in health and disease. I work closely with animal neurophysiologist and clinicians to develop data-constrained neural models that are functionally and translationally relevant. A main theme of my lab's research is to develop biophysically principled models of neural circuits that bridge the critical gap between human brain imaging signals (MEG/EEG) and their underlying cellular- and network-level generators. Current projects apply such interdisciplinary techniques to study the mechanisms and functions of neural dynamics, including brain rhythms, in healthy functions (such as perception, attention, and decision making) and in neural pathologies (such as pain and depression). We also study the impact of brain stimulation (DBS, tACS, TMS) and mind-body practices on brain dynamics with an ultimate goal of improving treatments for neuropatholgy.
Dr. Jones' most recent CV can be found on her Researchers@Brown page.
Darcy Diesburg, PhD
My focuses on neural mechanisms of inhibitory control in humans and how those mechanisms change in neuropsychiatric disease and treatment. During my graduate work at the University of Iowa, I trained as a cognitive neuroscientist and collected data from healthy and patient populations using several experimental methods (EEG, TMS, DBS, LFP, ECog). In my postdoctoral training, I aim to leverage HNN and similar biophysical models to gain insight into microcircuit computations that underlie human local field potential signatures associated with inhibitory control, such as beta and components of the frontocentral evoked potential. I am currently supported by Carney’s Training Program in Computational Psychiatry. Outside of time in the lab, I enjoy running, hiking, traveling, baking, and eating.
I study the neural dynamics of sensory perception, specifically, the processes of deviance detection (DD) and stimulus-specific adaptation (SSA) in the neocortex. These neural processes can be measured through a variety of recording modalities across mammalian species as an amplification of novel/surprising sensory information and suppression of expected sensory information, respectively. With a focus on computational approaches, I use and help develop novel tools like HNN to test hypotheses on the underlying microcircuit mechanisms of DD and SSA dynamics.
U. Research Assistant
U. Research Assistant
Brown University Collaborators
Alexandre Gramfort, ParisTech
Charles Schroeder, Columbia U.
Matti Hamalainen, MGH
Saski Haegens, Columbia U./Donders
Lab AlumniBlake Caldwell
Juan F. Santoyo