Dr. A. Bolu Ajiboye’s research interest is in the development and control of brain-computer-interface (BCI) technologies for restoring function to individuals who have experienced severely debilitating injuries to the nervous system, such as spinal cord injury and stroke.
Currently, he is interested in understanding at a systems level the relationships between the firing patterns of multi-neuronal networks and the kinetic (muscle activity and force) and kinematic (limb position and velocity) outputs of these neural systems in the control of upper-limb movements.
Dr. Ajiboye’s research activities include recording and analysis of single- and multi-unit intra-cortical neuronal spiking signals, as well as local field potential (LFP) cortical signals during both open-loop and closed-loop control experiments in awake and interactive human subjects. The end goal of his research is to develop BCI systems that allow for more natural interactions with one’s surrounding environment, and more natural control of assistive technologies, such as artificial limbs and functional electrical stimulation (FES) based systems.
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Author
- Brain-Computer Interface Application in Smart Vehicle Design; Ye Sun, A Bolu Ajiboye, Brian A Murphy, Xiong Bill Yu, PE Xiong Bill Yu – 2014
- Prediction of imagined single-joint movements in a person with high-level tetraplegia; A Bolu Ajiboye, John D Simeral, John P Donoghue, Leigh R Hochberg, Robert F Kirsch – 2012/2010
- Application of system identification methods for decoding imagined single-joint movements in an individual with high tetraplegia; A Bolu Ajiboye, Leigh R Hochberg, John P Donoghue, Robert F Kirsch – 2010