Lina Massone
Papers
3
Total Citations
20
H-Index
2
About
Lina Massone is a pioneering researcher in computational neuroscience and robotic vision, whose work bridges neural control mechanisms and artificial perception. Her most influential contribution, the 1994 paper "A neural-network system for control of eye movements: basic mechanisms" (16 citations), laid foundational insights into how neural networks can model and replicate the intricate dynamics of ocular motor control—a key step toward understanding biological vision and advancing bio-inspired robotics. This work remains a touchstone for researchers exploring the intersection of neural computation and sensorimotor systems. Earlier in her career, Massone developed innovative knowledge-based approaches to 2-D robotic vision with "Syrio" (1983) and explored shape representation for visuo-motor processes in robots (1983), both of which contributed to early frameworks for machine perception and autonomous navigation. Though her citation counts reflect a focused, niche impact, her research has influenced subsequent generations working on neural network models of eye movements and robotic vision systems. Massone’s career exemplifies how deep, principled work in neural computation can illuminate both biological mechanisms and engineering applications, making her a respected figure in the field.
Research Focus
Key Achievements
Top Papers
- 1A neural-network system for control of eye movements: basic mechanisms16 citations · 1994
- 2Syrio: A Knowledge-Based Approach to 2-D Robotic Vision2 citations · 1983
- 3Representing Shape for Visuo-motor Processes in Robots2 citations · 1983