Focko L. Higgen
Papers
1
Total Citations
3
H-Index
1
About
Focko L. Higgen’s research lies at the intersection of cognitive neuroscience and human-robot interaction, with a particular focus on crossmodal perception—how the brain integrates information from different senses, such as vision and touch. In his most-cited work, a 2020 study on crossmodal pattern discrimination in humans and robots, Higgen demonstrated that the quality of crossmodal perception depends on two key factors: the accuracy of independent unimodal perception and the ability to integrate sensory information. He further showed that this cognitively demanding ability declines from young to old age in humans, offering critical insights into aging and multisensory processing. While his citation count is still growing—with 3 citations on this flagship paper—his work is notable for bridging experimental psychology and robotics, exploring how biological principles of sensory integration can inform artificial systems. Higgen’s research is especially valuable for students and researchers interested in the neural mechanisms of perception, age-related cognitive change, and the design of more perceptually sophisticated robots.
Research Focus
Key Achievements
Top Papers
- 1