NEAIJul 18, 2024

Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps

arXiv:2407.13535v4h-index: 5
Originality Incremental advance
AI Analysis

This challenges the dominant cognitive map theory in neuroscience by offering a simpler, bottom-up model for navigation, which could explain behavior under constraints like limited energy or attention.

The paper demonstrates that visual route-based decision-making alone is sufficient for open field navigation, a task previously thought to require cognitive maps, with three distinct strategies emerging that show robust performance and align with biological behavior.

Navigation is believed to be controlled by at least two partially dissociable systems in the brain. The cognitive map informs an organism of its location and bearing, updated by integrating vestibular self-motion or predicting distances to landmarks. Route-based navigation, on the other hand, directly evaluate sequential movement decisions from immediate percepts. Here we demonstrate the sufficiency of visual route-based decision-making in a classic open field navigation task often assumed to require a cognitive map. Three distinct strategies emerge to robustly navigate to a hidden goal, each conferring contextual tradeoffs analyzed at both neural and behavioral scales, as well as qualitatively aligning with behavior observed across the biological spectrum. We propose reframing navigation from the bottom-up, through an egocentric episodic perspective without assuming online access to computationally expensive top-down representations, to better explain behavior under energetic or attentional constraints.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes