O.M. Akoner

University of California, Irvine

Papers

2

Total Citations

157

H-Index

2

About

O.M. Akoner’s research lies at the intersection of computational neuroscience and rehabilitation robotics, with a focus on understanding how the human motor system adapts and recovers. A key contribution is the “slacking” hypothesis, which proposes that the motor system continuously reduces muscle activation when movement errors are small—a fundamental property with profound implications for robotic orthoses and rehabilitation. This work, published in 2009, has garnered 119 citations, reflecting its influence on both motor control theory and device design. Akoner also investigates the neural mechanisms underlying stroke recovery, demonstrating that robotic and non-robotic arm training may drive recovery through a common neural pathway. This finding, supported by experimental evidence and computational modeling, has been cited 38 times and challenges assumptions about therapy specificity. By bridging computational models with clinical applications, Akoner’s work offers a unified framework for understanding motor adaptation and recovery, making it essential reading for researchers in neurorehabilitation and human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
157
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Slacking by the human motor system: Computational models and implications for robotic orthoses
119 citations · 2009
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of California, Irvine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago