Tag: Neuroscience
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Thought-Controlled Quadracopter Offers Virtual Chance for Movement
Read this feature from Michigan Engineering on how the brain-computer interface can enable people with paralysis to socialize with others, participate in remote work and enjoy recreational activities.
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U-M Team Develops StiMote to Help Restore Vision
The highly collaborative project will leverage many tiny sensing computers, called “motes,” to communicate with the visual cortex of the brain.
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NETP Symposium Provides Networking and Research Opportunities
Joseph J. Pancrazio, Professor and Vice President for Research at the University of Texas, Dallas, was the keynote speaker.
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U-M BME’s Anne Draelos Named a 2024 Sloan Research Fellow in Neuroscience
The grant funding will support Dr. Draelos’ research, which focuses on using real-time adaptive machine learning.
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Researchers Argue for a More Systematic Use of Mathematical Models To Study Neurotechnologies
Study calls into question rush to use brain stimulation technology to treat Parkinson’s and pain disorders.
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Brain interface pioneers find meaningful signal in the grey matter noise
Drastically reducing the power and computation needed to identify our intentions, researchers open up a future of advanced therapies and machines enabled by our thoughts.
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Improving Flexible Neural Probe Delivery Published in Nature: Microsystems & Nanoengineering
The new shuttle could hopefully be used to deliver neural probes that improve accuracy with less damage and disruption to the nervous system circuitry.
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‘It’s like you have a hand again’
The approach involves tiny muscle grafts and machine learning algorithms borrowed from the brain-machine interface field.
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Making connections: Designing a new neural interface module
Restoring arm and hand function has been identified as a top priority among individuals with quadriplegia, and functional electrical stimulation (FES) may offer hope to some patients,
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Empowering Neural Engineering
A group of innovative, accomplished faculty is driving the field forward, working side-by-side with clinicians in the U-M Medical School to focus on translational applications to improve the lives of patients.