The UWIN seminar series continues in May with a pair of short talks by Kameron Decker Harris and Jeff Ojemann. The seminar is on Wednesday, May 8, 2019 at 3:30pm in Husky Union Builiding (HUB) 337. Refreshments will be served prior to the talks.
” Machine theories of animal learning ”
Kameron Decker Harris, Postdoctoral Fellow, Departments of Computer Science & Engineering and Biology, University of Washington
“Cortical plasticity when interfacing with a brain-computer interface”
Jeff Ojemann, Professor, Department of Neurological Surgery, University of Washington
” Machine theories of animal learning ” ( Kameron Decker Harris)
Recent work in computational neuroscience highlights the importance of understanding the roles of the “dimensionality” of neural representations. We have some clues that compressing or expanding dimensionality is useful for tasks such as noise removal or learning. I will present a roadmap of my current research, which uses statistical learning theory to explain how dimensionality controls the variance of a neural circuit that carries out associative learning. This theory is well-suited to explaining the functioning of mostly feed-forward neural circuits, such as the mushroom body and cerebellum.
“Cortical plasticity when interfacing with a brain-computer interface” (Jeff Ojemann)
Both motor and sensory cortex have been used to interact with artificial limbs in neuroprosthetic research. Learning occurs during this interaction and results in fascinating changes within the native cortical maps. The changes in both motor and remote cortex during the performance of a brain-computer interface show remarkable remapping in a short time frame. Electrical stimulation of sensory cortex is equally rapidly incorporated into the body representation. Implications for future neuroprosthetics will be discussed.