Brain-machine interfaces & Text-speak processing and mental workload

Dr. Mikhail Lebedev, Dr. James Head
Host Institution: 

Dear Colleagues!

Higher School of Economics invites you to seminars, that will be held onApril, 28, at 11.00 in Aud.101 of Higher School of Economics, Myasnitskaya str.20. 

Research presentation:
11 00 - 11 55 Mikhail Lebedev (University of Tennessee, PhD in Neurobiology, 1995) Brain-machine interfaces

 12 00 - 12 55 James Head (University of Canterbury, PhD in Psychology, 2013) Text-speak processing and mental workload  

If you need a pass to the HSE, please contact Anastasia Plotnikova via email: mobile +7 (963) 767-60-70

Abstract:Brain-machine interfaces (BMIs) hold promise to treat neurological disabilities by linking intact brain circuitry to assistive devices, such as limb prostheses, wheelchairs, artificial sensors, and computers. BMIs have experienced very rapid development in recent years, facilitated by advances in neural recordings, computer technologies and robots. BMIs are commonly classified into three types: sensory, motor and bidirectional, which subserve motor, sensory and sensorimotor functions, respectively. Additionally, cognitive BMIs have emerged in the domain of higher brain functions. BMIs are also classified as noninvasive or invasive according to the degree of their interference with the biological tissue. Although noninvasive BMIs are safe and easy to implement, their information bandwidth is limited. Invasive BMIs hold promise to improve the bandwidth by utilizing multichannel recordings from ensembles of brain neurons. BMIs have a broad range of clinical goals, as well as the goal to enhance normal brain functions.