Neural engineering is a cutting-edge field that draws students from diverse backgrounds such as bioengineering, biochemistry, electrical engineering and applied math. One of the challenges inherent in the cross-disciplinary nature of this new and emerging academic domain is providing necessary education and training in the biological sciences to students from computational backgrounds such as engineering or applied math.
In this blog and by sharing our stories, we aim to ENGAGE students, researchers and the public, and ENABLE people who have disabilities.
"What is a Neuroethics Roundtable?" you may ask. Simply put, it's a gathering of those who are actively engaged in the fields of neuroscience, neurosurgery and neural engineering to discuss, collaborate, and increase awareness and understanding of the ethical aspects of their work. The Roundtable is a place of commonality, providing a shared space for attendees to connect neuroethics to their own areas of expertise in science, medicine or research. Presentations given at the Roundtable inform attendees about what research the CSNE neuroethicists are working on, provide an opportunity to discuss current research in progress, and encourage reflection on how neuroethics can positively impact practical, day-to-day realities.
Most of us tend to think of our identity, our sense of self and who we are, as something that is relatively ingrained and unchanging; however, some people who receive neuroengineered implants, like those used in Deep Brain Stimulation (DBS), discover that their identity and sense of self are not as set in place as they might have previously thought. Even as implants help with disease symptoms, the devices can also cause shifts in personality, or make an individual question their control over their actions or moods.
Almost everyone knows someone who has experienced a form of brain-related injury or disorder. There are thousands of people every year who undergo neurosurgical procedures, and many face a lifetime of impairment with limited treatment options.
The CSNE and its industry affiliate, Microsoft, are working together to advance neurological treatments by tackling one of the greatest challenges in neuroscience today—how to accurately interpret brain signals. Using a multi-pronged approach, the CSNE and Microsoft are developing and evaluating cloud-based analysis of electrocorticographic (ECoG) signals from the surface of the brain, using machine learning to interpret data. Recent collaborations include: