Join us for a taste of neuroscience as we hear from three local scientists about their research!
Distorted reality for recovery after neural injury
James Patton, University of Illinois at Chicago
This presentation will trace some of recent encouraging studies, while also showing some of the techniques for making feedback technology and robotics foster positive change in patients with neural injuries such as stroke.
Learning to control a brain machine interface
Nicho Hatsopolous, University of Chicago
Nicho will show how brain networks change as one learns to control a robot using electrical signals from the motor cortex for an extended period of time. This learning process may be analogous to learning to perform a new motor skill such as playing tennis or playing the piano.
Biological and bionic hands: Natural neural coding and artificial perception
Sliman Bensmaia, University of Chicago
Our ability to manipulate objects dexterously relies fundamentally on sensory signals originating from the hand. To restore motor function with upper-limb neuroprostheses requires that somatosensory feedback be provided to the tetraplegic patient or amputee. To this end, we develop approaches to intuitively convey sensory information that is critical for object manipulation through electrical stimulation of the sensory areas of the brain.
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