In this blog and by sharing our stories, we aim to ENGAGE students, researchers and the public, and ENABLE people who have disabilities.
As part of his work with the Center for Sensorimotor Neural Engineering (CSNE), Dr. Sam Kassegne, one of the CSNE's Communication and Interface research leaders and CSNE deputy director at San Diego State University (SDSU), along with his SDSU colleagues and students, is developing a special kind of electrode to be used in brain-computer interfaces. This "glassy carbon" electrode both electrically stimulates (sends information) and records (receives information) from neurons in the brain.
Although the word “Rextravaganza” may conjure images of an east coast music festival, or perhaps even a conference for dinosaur enthusiasts, the Center for Sensorimotor Neural Engineering (CSNE) Rextravaganza series is actually an open forum for undergraduate and graduate students to practice scientific presentations at the CSNE and gain some exposure for their research in a supportive environment. This is a student-run event, held at the CSNE periodically throughout the year. It is managed by the CSNE's Student Leadership Council (SLC) and attended by CSNE-affiliated students, as well as other students at the University of Washington (UW) who are interested in neural engineering.
In an ideal world, all engineers, including neural engineers, would inquire about the needs of their technology end-users before beginning their design process. Information about end-user needs can be collected through methods like surveys, firsthand conversations in focus groups, and usability tests. In reality, these conversations and usability tests often do not happen, creating a gap between what the end-users of neurotechnologies want, and what the engineer perceives as the end-user’s needs.
The Center for Sensorimotor Neural Engineering (CSNE) recently formed partnerships with Cambridge NeuroTech, Kernel, Pramak, WiBotic and ARM. These are five innovative companies leading their respective fields in areas related to neural engineering, including silicon neural probes, neuroprosthetics, cloud computing, wireless power solutions, and power-efficient microprocessors.