PreprintAll rights reservedbioRxiv
Self-guided search in immersive VR reveals active hierarchical planning
- 1University of California, Davis
Related
- Environmental complexity reveals memory-guided search as the locus of learning in prey capture
- Cortico-hippocampal dynamics of hierarchical syntactic planning in natural speech production
- A fully immersive Virtual Reality setup using DeepLabCut reveals species-specific behavioural responses of freely moving coral reef fishes to conspecifics and predators
- A visual perception-guided framework for camera path planning in large-scale digital twin and AI-generated 3D scenes
- De novo design of small cyclic peptide inhibitors from non-canonical amino acids by cofolding-guided search
BibTeX
@misc{wan2026selfguided,
title = {{Self-guided search in immersive VR reveals active hierarchical planning}},
author = {Q. Wan and H. Ren and S. E. Duarte and J. Park and C. Ranganath and J. J. Lin and S. Ghetti and J. J. Geng},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.23.753863},
url = {https://www.biorxiv.org/content/10.64898/2026.09.23.753863v1},
}
RIS
TY - UNPB
TI - Self-guided search in immersive VR reveals active hierarchical planning
AU - Q. Wan
AU - H. Ren
AU - S. E. Duarte
AU - J. Park
AU - C. Ranganath
AU - J. J. Lin
AU - S. Ghetti
AU - J. J. Geng
PY - 2026
DA - 2026/09/23
PB - bioRxiv
DO - 10.64898/2026.09.23.753863
UR - https://www.biorxiv.org/content/10.64898/2026.09.23.753863v1
ER -