Stephanie R Jones

Stephanie R Jones is a Professor of Neuroscience at Brown University, affiliated with the Carney Institute for Brain Science. Her research integrates human brain imaging and computational neuroscience methods to study brain dynamics in health and disease. She works closely with animal neurophysiologists and clinicians to develop data-constrained neural models that are functionally and translationally relevant.

Dr. Jones' primary research interests include:

• Computational neuroscience approaches to understanding brain function
• Electroencephalography (EEG) and magnetoencephalography (MEG) analysis
• Neural rhythms and their role in cognitive processes
• Transcranial magnetic stimulation (TMS) and other brain stimulation techniques
• Biophysically principled models of neural circuits

Her work focuses on developing models that bridge the gap between human brain imaging signals (MEG/EEG) and their underlying cellular and network level generators. Current projects apply interdisciplinary techniques to study neural dynamics in healthy functions such as perception, attention, and decision making, as well as in neural pathologies including depression, autism spectrum disorders, aging, Alzheimer's, and schizophrenia. She also investigates the impact of brain stimulation and mind-body practices on brain dynamics with the goal of improving treatments for neuropathology.

Dr. Jones has received numerous awards and honors throughout her career, including:

• Claflin Distinguished Scholar Award, Massachusetts General Hospital (2008-2010)
• Harvard Catalyst Advanced Imaging Award, Harvard Medical School (2012-2013)
• New Frontiers Fund Awards from the Brown Institute for Brain Science
• Brown University DEAN's Emerging Areas of New Science Award
• Invited Panel Advisor for NIH and NSF sponsored "BRAIN" Initiative Workshops

As an advisor and collaborator, Dr. Jones works with a diverse team of researchers across multiple disciplines. Her lab, the Jones Laboratory for Human Electrophysiology and Computational Neuroscience, develops the Human Neocortical Neurosolver (HNN), a software tool for interpreting the cellular and network origin of human MEG/EEG data. She serves as an Associate Editor for the MIT Press Journal Neural Computation and as an NSF/NIH Panel Grant Reviewer for Collaborative Efforts in Computational Neuroscience.

The Jones Lab bridges experimental and theoretical techniques to study human brain dynamics, with a mission to develop biophysically principled models of neural circuits that connect electrophysiological measures of brain function to underlying cellular and network dynamics. The lab collects MEG/EEG data non-invasively in humans and collaborates closely with animal electrophysiologists and clinicians to develop translationally relevant models.