Principal Investigator
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.
Lab Members
Post-Doc
Darcy Diesburg, PhD
Post-Doc
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.
Katharina Duecker, PhD
Post-Doc
My primary scientific interest lies in understanding how neuronal oscillations support computations in neuronal populations. During my PhD at the University of Birmingham, UK, I used MEG and computational modeling to probe the roles of gamma and alpha oscillations in visual perception and attention. Currently, as a postdoctoral researcher, I'm employing HNN to dissect the neural circuitry that underpins these oscillatory dynamics. My goal is to unravel where and how different oscillations are generated, and how they impact spiking and dendritic dynamics. Outside of the lab, I enjoy yoga, running, functional training, music events, and exploring beautiful Ocean State.
Post-Doc
Graduate Student
Adrianna Hohil
Masters Student
Adrianna is a 2nd year Masters student in the Jones Lab where she's investigating EEG biomarkers as potential disease indications for Schizophrenia and Fragile X disorder. If successful, the indications will be used in the lab's technology commercialization effort, Human Neocortical Neurosolver.
Nicholas Tolley
Graduate Student
I am currently a PhD Candidate in the Neuroscience program at Brown. My major research interests focus on studying neural information processing in the neocortex by combining tools from biophysical modeling and data science. I am particularly interested in using deep learning to help fit biophysical models to neural activity recorded in experiments. To complement my research, I also help develop the lab’s neural modeling software HNN. Outside of the lab, I’m an avid runner and a huge music/podcast nerd.
Data Scientist
Austin Soplata, PhD
Research Software Engineer
I am currently a Research Software Engineer developing the HNN project in the Jones lab. During my graduate studies at Boston University and first postdoc at Mass General, I developed biophysical models of thalamocortical oscillations to simulate mechanisms of anesthesia. During my second postdoc at the Blue Brain Project, I worked on anatomically realistic models of mouse thalamus. I am care deeply about open source scientific software, especially applications for neuroscience.
Joyce Gao
Lab Manager
Jacob Tajchman
Masters Student
I'm a master's student investigating biophysically realistic computational modeling of the brain under TMS at the sub-cellular, cellular, and mesoscopic scales. I am also using HNN to investigate the neural mechanisms of the brain's response to TMS pulses. My hobbies include martial arts, hiking, and cooking.
Brown University Collaborators
Barry Connors
Ben Greenberg
Carl Saab
Christopher Moore
David Borton
Michael Frank
Wael Asaad
Shane Lee
Other Collaborators
Alexandre Gramfort, ParisTech
Charles Schroeder, Columbia U.
Matti Hamalainen, MGH
Saski Haegens, Columbia U./Donders
Lab Alumni
Blake Caldwell
Carmen Kohl
Sam Neymotin
Iris Peng
Julia Ostrowski
Sarah Pugliese
Juan F. Santoyo
Carolina Santiago
Julie Guerin
Mathew Sacchet
Maxwell Sherman
Nathan Vierling-Claasen
Paul Bowary
Quan Wan
Roan Laplante
Robert Law
Shawn Tsutsui
Tariq Cannonier
Hyeyoung Shin
Prannath Moolchand
Liz Kaplan
Ryan Thorpe
Nikolai Rogalinski