Keaton Proud

Queen's University

Papers

1

Total Citations

12

H-Index

1

About

Keaton Proud’s research lies at the intersection of motor control, computational neuroscience, and human skill acquisition, with a focus on how the brain learns and remembers the physical dynamics of tools. His most-cited work, “Separate motor memories are formed when controlling different implicitly specified locations on a tool” (2019, 12 citations), challenges long-held assumptions about motor memory formation. Proud demonstrated that the brain does not store a single memory for an entire object; instead, it creates distinct, context-specific motor memories for different control points on the same tool—even when those points are only implicitly defined. This finding has profound implications for understanding dexterous manipulation, rehabilitation, and robotic control. By revealing the brain’s ability to flexibly partition learning across spatial locations, Proud’s work reshapes how we think about the neural basis of tool use and skill transfer. His contributions are particularly relevant for researchers studying motor adaptation, sensorimotor integration, and human-robot interaction, offering a nuanced view of how we master complex, multi-point tools in everyday life.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Separate motor memories are formed when controlling different implicitly specified locations on a tool
12 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Queen's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago