Spatial uncertainty and environmental geometry in navigation
Variations in the geometry of the environment, such as the shape and size of an enclosure, have profound effects on navigational behaviour and its neural underpinning. Here, we show that these effects arise as a consequence of a single, unifying principle: to navigate efficiently, the brain must maintain and update the uncertainty about one’s location. We developed an image-computable Bayesian ideal observer model of navigation, continually combining noisy visual and self-motion inputs, and a neural encoding model optimized to represent the location uncertainty computed by the ideal observer. Through mathematical analysis and numerical simulations, we show that the ideal observer accounts for a diverse range of sometimes paradoxical distortions of human homing behaviour in anisotropic and deformed environments, including ‘boundary tethering’, and its neural encoding accounts for distortions of rodent grid cell responses under identical environmental manipulations. Our results demonstrate that spatial uncertainty plays a key role in navigation.
Date: 15 February 2023, 13:00 (Wednesday, 5th week, Hilary 2023)
Venue: Lecture Theatre
Speaker: Mate Lengyel (University of Cambridge)
Organising department: Medical Sciences Division
Organisers: Samuel Liebana Garcia (University of Oxford), Dr Rafal Bogacz (University of Oxford)
Organiser contact email address: samuel.liebanagarcia@merton.ox.ac.uk
Part of: Oxford Neurotheory Forum
Booking required?: Not required
Audience: Members of the University only
Editor: Rui Costa