Paul R. MacNeilage
Papers
2
Total Citations
6
H-Index
2
About
Paul R. MacNeilage is a leading researcher in the field of multisensory perception and spatial orientation, with a primary focus on how the brain integrates vestibular and visual signals to perceive self-motion. His work is foundational in understanding the neural mechanisms underlying heading perception—the direction of linear movement in head coordinates. MacNeilage’s major contributions include the statistical characterization of natural heading stimuli, where he applies computational models, such as SLAM (Simultaneous Localization and Mapping), to analyze how the vestibular system (detecting linear acceleration) and the visual system (detecting optic flow) combine to estimate direction. His highly cited papers, including those from 2018 and 2019, have garnered attention for bridging psychophysical studies with real-world environmental statistics, revealing how the brain optimally processes noisy sensory inputs. By quantifying the statistical properties of natural self-motion, MacNeilage’s work has profound implications for understanding spatial navigation and for developing bio-inspired algorithms in robotics and virtual reality. His research continues to shape the study of vestibular neuroscience and sensory integration, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2