Neural Models of Spatial Orientation in Novel Environments.
Abstract
Completed work on this grant analyzes problems of spatial navigation, 3-D vision, visual search, spatial mapping, planning and action, all of which utilize spatial representations to control adaptive behaviors in real time. Highlights include contributions towards solving the classical figure- ground problem for biological vision, the problem of self-organizing body-centered spatial representations for movement planning and spatial orientation, and the problem of carrying out fast visual search for targets among multiple distractors. Ongoing research includes projects concerning how a rapidly moving agent can self-organize spatial representations, use these representations for real-time movement planning, and transform spatial movement plans into appropriate motor commands for movement control and real-time navigation in a rapidly changing, cluttered environment. Specific projects include retinal image processing, formation of egocentric maps of heading direction from optic flow, detection of independently moving objects from optic flow, integration of egocentric and allocentric representations for autonomous navigation, and investigation of spatial reference frames for real-time flexible speech articulator control.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1995
- Accession Number
- ADA302635
Entities
People
- Stephen Grossberg
Organizations
- Boston University