Interests:
- Robustness and Stability of Heading Perception
- How do humans reliably perceive self-motion in dynamic environments?
- Competitive Dynamics Model
- Object Motion Perception during Self-Motion
- How do we accurately perceive the motion of objects that move through the world?
- Detection of Moving Objects
- How do we differentiate between stationary and independently moving objects during self-motion?
- Object Boundary and Surface Coding
- Why does a boundary belong to a figure and not its
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Interests:
- Robustness and Stability of Heading Perception
- How do humans reliably perceive self-motion in dynamic environments?
- Competitive Dynamics Model
- Object Motion Perception during Self-Motion
- How do we accurately perceive the motion of objects that move through the world?
- Detection of Moving Objects
- How do we differentiate between stationary and independently moving objects during self-motion?
- Object Boundary and Surface Coding
- Why does a boundary belong to a figure and not its background?
I build neural models and design experiments that link perception, action, and behavior with the brain. The focus is on human navigation: what strategies and mechanisms in the primate brain make humans so capable when moving through dynamically changing, complex environments (e.g. driving through traffic, walking through Grand Central Terminal)? My approach treats perception and action as a single interactive process that evolves over time, in contrast to the traditional view of perception as the passive outcome of sensory processing.
Areas of Expertise:
- Machine Learning
- Computational neuroscience
- Neural Modeling
- Visual perception
- Perception and action
- Optic flow
- Systems neuroscience
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