Title: Models of Spatial Navigation
1Models of Spatial Navigation
- Horatiu Voicu
- Computer Science Division
- The University of Memphis
2Computational Models of Spatial Navigation
- Verbal (Deutch, 1960)
- Behavioral (Reid and Staddon, 1998)
- Computational
- Symbolic (Kuipers, 1978)
- Connectionist (Schmajuk and Thieme,1992)
- Attractor networks (Samsonovitch and McNaughton,
1997)
3What has been accomplished so far in modeling
spatial navigation
4What has been accomplished so far in modeling
spatial navigation
5What has been accomplished so far in modeling
spatial navigation
6What has been accomplished so far in modeling
spatial navigation
7What has been accomplished so far in modeling
spatial navigation
8What has been accomplished so far in modeling
spatial navigation
9What has been accomplished so far in modeling
spatial navigation
- Navigation in Large Environments
10What has been accomplished so far in modeling
spatial navigation
11What has been accomplished so far in modeling
spatial navigation
- Explanation of place cells and theta rhythm
12(Adapted from Thinus-Blanc, 1996)
Temporal Cortex
Frontal Cortex
Parietal Cortex
Cingulate Cortex
Parahippocampal Cortex
Perirhinal Cortex
Presubicullum
Dentate Gyrus
Entorhinal Cortex
Subicullum
CA1
CA3
Parasubicullum
13Navigation Systems
14(No Transcript)
15Key innovations in our approach
- Integration of different navigation systems in
one multi-purpose navigation system - Demonstration of chaotic mesoscopic space-time
neurodynamics for perception and action in an
autonomous agents
16Accomplishments
Goal finding
Detour finding
Obstacle avoidance
Cognitive map building
17Challenges
- Use Chaotic Attractor Networks to
- Store and retrieve information from cognitive
maps in simulated and real environments - Perform information fusion of different types of
sensory modalities - Perform action planning and selection
18Environment
19Environment