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Miniature Brain Machinery. Understanding the Brain: Training the Next Generation of Researchers in Engineering and Deciphering of Miniature Brain Machinery

Frontiers in Miniature Brain Machinery: Todd Coleman

Event Type
The Miniature Brain Machinery Program
2269 Beckman Institute
wifi event
Sep 28, 2022   4:00 pm  
Todd Coleman, Associate Professor of Bioengineering at Stanford University
Attend this event on Zoom.
Anne McKinney
Originating Calendar
Beckman and Campus Calendars

Todd Coleman, Associate Professor of Bioengineering at Stanford University, will lecture on “Monitoring and modulating nervous systems in the brain and visceral organs” at 4:00 pm in 2269 Beckman Institute and on Zoom September 28, 2022.  One of our MBM trainees will give an introduction.

The lecture is free and open to the public courtesy of the Miniature Brain Machinery Program. Zoom details are below.


We will highlight recent technological and methodological advances in deploying miniaturized technologies that can monitor the electrophysiologic patterns of the visceral nervous system.  Specifically, we will showcase recent developments in biomedical signal processing that enable non-invasive tracking of the slow wave patterns associated with the neuromuscular activity of the stomach.

We will also describe recent developments of thin, stretchable, wireless biosensor patches that can be embedded within routinely used medical adhesives for ambulatory recording of these gastric electrophysiologic patterns.  We will illustrate how such systems can also be used in tandem with novel miniaturized pacing devices to enable closed-loop neuromodulation of the enteric nervous system.

We will also discuss recent efforts in exploring the electrophysiologic basis of the gut-brain axis with concurrent non-invasive electrophysiologic recordings of the brain and stomach. We will conclude with a summary of the knowns and unknowns in how multi-organ physiology research, technology miniaturization, and data science may create unique opportunities for the intersection of engineering, applied probability, neuroscience, and medicine.

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