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Visuospatial navigation without distance, prediction, integration, or maps

2024-07-18 · Patrick Govoni, Pawel Romanczuk

Navigation is controlled by at least two partially dissociable, concurrently developed systems in the brain. The cognitive map informs an organism of its location and bearing, updated by distance-based prediction and vestibular integration. Response-based systems, on the other hand, directly evaluate movement decisions from immediate percepts. Here we demonstrate the sufficiency of visual response-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, as well as aligning with behavior observed with rodents, insects, fish, and sperm cells. We propose reframing navigation from the bottom-up, without assuming online access to computationally expensive top-down representations, to better explain behavior under energetic or attentional constraints.

📄 PDF Abstract BibTeX arXiv:2407.13535

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Decision MakingNavigatePredictionVisual Navigation

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SET Dynamic Sparse Training method where weight mask is updated randomly periodically

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