Back to search

Article

Flexible route planning and rapid structure learning by mice in complex environments

2026-06-05

Abstract excerpt

Action selection using predictive models of the environment plays a fundamental role in human and animal behaviour, yet is poorly understood at circuit and algorithmic levels. Spatial navigation is an attractive domain for characterising how world models guide action selection. However spatial behaviours are shaped by multiple control systems including habits, vector-navigation using a Euclidean model of spatial r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2e075c49-2390-56c3-8e00-20522488b610
DOI
10.64898/2026.06.02.729586
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Flexible route planning and rapid structure learning by mice in complex environmentsDOI 10.64898/2026.06.02.729586
Select a neighboring publication to make it the new centre.