FBW-P06
Path Integration and Homing
Explore how persistent neural state can integrate self-motion and estimate a homeward direction when landmarks are limited.
Training preparationApplications open
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Project background
Start with short-path heading estimation and study how rotation and translation signals accumulate in persistent neural state. Increase route length and noise gradually, recording drift and failure conditions rather than assuming spatial memory exists.
This project connects a defined neural-computation question to a reproducible evaluation protocol and a community participation pathway. Results will be interpreted only within their recorded model, task and evidence scope.
Training goals
- Reduce heading-estimation and homing endpoint errors.
- Measure error growth with route length.
- Compare landmark-present and landmark-absent conditions.
Current foundation and milestones
Structural data and simulation are reusable. Repeatedly reset short experiments do not establish path memory or persistent-state navigation.
Next milestone: Freeze persistent-state and short-path heading benchmarks
- PlannedFreeze persistent-state and short-path heading benchmarks
- PlannedImplement the versioned task and measurement interface
- PlannedEvaluate frozen conditions and independent reproduction
Content updated:
Technical approach
Feed angular velocity and speed into a state-preserving model and read a heading estimate or homing vector. Ground-truth position is available only to scoring. An environment-provided home vector cannot replace neural computation. Persistent-state execution requires its own versioned rules.
Method schematic
Task and evaluation design
Evaluation design
| Indicator | Definition | Direction | Units | Observation |
|---|---|---|---|---|
| Heading error | Angular difference between the readout and the evaluation heading. | Lower is better | degrees | Awaiting evaluation |
| Homing endpoint error | Distance between the final location and the home region. | Lower is better | environment distance | Awaiting evaluation |
| Route-length drift | Compare error as the frozen route length changes. | Compare matched conditions | error by route length | Awaiting evaluation |
| Landmark sensitivity | Compare matched trials with and without landmarks. | Compare matched conditions | matched-condition difference | Awaiting evaluation |
No measured values have been published. Acceptance thresholds will be frozen in each task protocol before evaluation.
Expected deliverables
- Heading-estimation and homing configurations.
- Error measurements across route and noise conditions.
- A persistent-state reproduction protocol.
Ways to participate
- Temporal parameter research
- Long-trajectory evaluation
- Error analysis
- Independent reproduction
Device requirements and task schedules will be matched by the community after runnable profiles have been evaluated. Unknown specifications are welcome in the application.
Apply to join training
Applications are received for community review and matching. Selection does not mean training has started.
References and related work
External sources provide technical background. They do not establish equivalent FBW capabilities.
View published research records ↗