Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Dr. Chuck Alan D Dorval

Dr. Chuck Alan D Dorval - Associate Professor

Department of Biomedical Engineering
   Director of Grad Studies & Assoc Chair for Research
Scientific Computing and Imaging Institute
Program in Neural Engineering
Utah Neural Modulation & Information Lab - Director
SMBB 4535
phone 801-581-7631
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My real name is Alan Dale Dorval II, but everyone calls me Chuck. I was born and raised in Maine. As a kid I was most interested in math and science, which eventually lead me to engineering. Near the end of my sophomore year in college (1994) I was introduced to Biomedical Engineering and its subdiscipline, Neuroengineering.

Since then, I've spent my professional life engineering approaches to understanding and interfacing with the brain, aiming to improve everyday experiences for people whose neurological conditions may be keeping them from living their best life. I presently run the Utah Neural Modulation & Information Lab; teach a variety of courses in Biomedical Engineering, Neuroscience, and Neuroengineering; and keep myself busy with various other tasks in the SCI Institute and the Price College of Engineering, all at the University of Utah.

Current Responsibilities

Course Instructor:
  • Systems Physiology (BME 3202)
  • Cellular Electrophysiology & Biophysics (BME 6003)
  • Computational Neuroscience (BME 6005)
  • Advanced Biomedical Signal Analyses (BME 6433)
  • Cellular & Molecular Neuroscience (NEUSC 6040)

Research Interests

My interests lie at the intersection where the fields of neural information and neural modulation impact quality of life for people living with neurological conditions. How does the brain process information, on a deeply quantitative level? How is that information processing disrupted by genetic predispositions, environmental factors, infections diseases, or lived experiences? And what sorts of neuromodulatory interventions can restore or replace the brain's information processing skills, to alleviate neurological symptoms?

In particular, our lab explores electrical neuromodulation: a collection of therapies in which electrical stimulation modulates neural tissue activity to alleviate neurological symptoms. While some of these therapies are performed non-invasively, others require chronic implantation of an electrical stimulator -- over a million people are living with embedded electric circuits that regularly stimulate their brain or spinal cord! Though these interventions work quite well in some patients, clinicians and scientists have a very incomplete picture of how or in whom they will alleviate symptoms. We aim to improve and expand these therapies by identifying optimal anatomical targets, understanding their behavioral and physiological responses, leveraging neural feedback to assess their efficacy, and building devices to make neuromodulation less invasive and more therapeutic for a wider range of neurological conditions.