Principal Investigator

Stephanie Jones, PhD
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

Brian Kavanaugh, PsyD
Pediatric Neuropsychologist
Laura Korthauer, MD PhD
Clinical Neuropsychologist
  David Zhou, PhD

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.
Orsi Kolozsvári, PhD
Danielle Sliva, PhD
Chloe Zimmerman
Graduate Student

Ryan Thorpe
Graduate Student

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.

Nicholas Tolley
Graduate Student
LinkedIn GitHub
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.
Dylan Daniels
Research Technician
Elizabeth Kaplan
  Research Technician
Nikolai Rogalinski
U. Research Assistant
Nova Chen
U. Research Assistant

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