Tobias Storck
Papers
3
Total Citations
16
H-Index
2
About
Tobias Storck investigates the neural underpinnings of sensorimotor behavior, focusing on how the brain learns and executes precise saccadic gaze shifts—a fundamental aspect of visual perception. His work centers on developing neural-dynamic architectures that model the calibration of perceptual and motor systems, enabling robots and cognitive agents to autonomously learn how to look at objects. In his most cited paper, "Learning to Look and Looking to Remember" (2014, 11 citations), Storck introduces an embodied model that not only generates saccadic gaze shifts but also integrates memory formation, bridging the gap between action and cognition. His subsequent papers (2014, 3 and 2 citations) refine this architecture, demonstrating how the brain shifts from visual to motor target representations for memory-guided saccades. By showing that precise sensorimotor transformations can be learned rather than pre-programmed, Storck’s contributions have implications for developmental robotics, human-robot interaction, and our understanding of active perception. His work stands out for its interdisciplinary approach, combining dynamic neural fields with embodied cognition to explain one of the most basic yet complex behaviors: looking.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3