Daniele Micci Barreca
Papers
1
Total Citations
51
H-Index
1
About
Daniele Micci Barreca is a leading researcher in computational neuroscience and motor control, with a focus on understanding how the brain coordinates complex, redundant movement systems. His seminal work, "Neural Models for Flexible Control of Redundant Systems" (1997, 51 citations), provides a foundational framework for explaining human motor equivalence—the ability to achieve the same goal through varied movement patterns. In this influential chapter, he critically examines the DIVA and DIRECT models of motor skill acquisition, arguing that experimental evidence of approximate postural invariance during reaching does not necessarily imply a rigid motor system. Instead, his analysis advances a more flexible, neural-based understanding of how the central nervous system resolves redundancy. This contribution has shaped subsequent research in robotics, rehabilitation, and motor learning. With over 50 citations on this key work alone, Micci Barreca’s insights continue to inform both theoretical models and practical applications in human-machine interaction. His research remains essential reading for students and scientists exploring the neural underpinnings of adaptive, goal-directed movement.
Research Focus
Key Achievements
Top Papers
- 1Neural Models for Flexible Control of Redundant Systems51 citations · 1997