Ajiboye, A Bolu, PhD

AjiboyeResearch Statement

My main 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, I am 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.  My 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 my 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.

For more information, visit BrainGate2.case.edu

Professional Affiliations

  • Investigator, Cleveland FES Center
  • Assistant Professor, Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH
  • Research Associate, Louis Stokes Cleveland VA Medical Center, Cleveland, OH

Publications (Select)

  • Ajiboye AB, Simeral JD, Donoghue JP, Hochberg LR, Kirsch RF. Prediction of imagined single-joint movements in a person with high-level tetraplegia. IEEE Trans Biomed Eng. 2012 Oct;59(10):2755-65. Epub 2012 Jul 23. PubMed PMID: 22851229.
  • Ajiboye AB, Hochberg LR, Donoghue JP, Kirsch RF. Application of system identification methods for decoding imagined single-joint movements in an individual with high tetraplegia. Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2678-81. doi: 10.1109/IEMBS.2010.5626629. PubMed PMID: 21096197.
  • Ajiboye AB, Weir RF. Muscle synergies as a predictive framework for the EMG patterns of new hand postures. J Neural Eng. 2009 Jun;6(3):036004. doi: 10.1088/1741-2560/6/3/036004. Epub 2009 May 12. PubMed PMID: 19436081; PubMed Central PMCID: PMC3151158.
  • Ajiboye AB, Weir RF. A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control. IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):280-91. PubMed PMID: 16200752.

Research Programs

  • Cortical Control of an FES System for Individuals with High Tetraplegia – Department of Veterans Affairs – Rehabilitation Research and Development Service

Contact Information

Contact Name: A. Bolu Ajiboye
Contact Number: (216) 368-6814
Contact Email: bolu.ajiboye@case.edu