| Eli Kinney-Lang |
| Tue 20 Jun 2017, 13:00 - 13:30 |
| Classroom 7, Hudson Beare Building, King’s Buildings, EH9 3JL |
If you have a question about this talk, please contact: Aryan Kaushik (s1580884)
Eli is a PhD student in the Institute for Digital Communications.
Abstract
Brain-computer interfaces (BCI) offer advantages to a wide range of pathologies in adults, helping in applications from communication to rehabilitation. However, little work has been done in adapting this technology to the developing brain in children. One way to potentially acount for the shifting patterns in developing children is by using multi-way (or tensor) analysis of electroencephalography (EEG) data to help identify unique characteristics dependent on age. Our work presents preliminary data looking at applying the PARAFAC tensor analysis technique to epilepsy and control data from children to discover these potential 'snapshots' in development.
Biography
Eli studied Mathematics/Pre-medicine at the University of Wyoming, Wyoming USA. He worked in a basic developmental neuroscience lab under Dr. Flynn at the University of Wyoming during undergraduate studies. He was hired by University of California, Irvine, to another developmental neuroscience lab after graduation as a Junior Technician. There he studied the role of maternal care on stress induced learning deficits and epileptogenisis under Dr. Tallie Z. Baram and Dr. Andre Obenaus. He began his PhD studies under Dr. Javier Escudero in 2015 researching brain-computer interfaces (BCI) for children with motor impairment.