Article

Flexible Path Planning Through Vicarious Trial and Error

2021-09-09

Abstract excerpt

<h4> A bstract </h4> Flexible planning is necessary for reaching goals and adapting when conditions change. We introduce a biologically plausible path planning model that learns its environment, rapidly adapts to change, and plans efficient routes to goals. Unlike prior models of hippocampal replay, our model addresses the decision-making process when faced with uncertainty. We tested the model in simulations o...

Topics

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

Identifiers and source

Literature Corpus work: edc4e5d1-ce74-5c49-be3e-e6252122f71c
DOI: 10.1101/2021.09.08.459317

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Flexible Path Planning Through Vicarious Trial and ErrorDOI 10.1101/2021.09.08.459317Read

Reinforcement Learning approaches to hippocampus-dependent flexible spatial navigationSemantic proximity Read

Flexible route planning and rapid structure learning by mice in complex environmentsSemantic proximity Read

Human back-tracking behaviour is associated with suppression of default-mode region activity and enhanced dorsal anterior cingulate activitySemantic proximity Read

Uncertainty-Driven Exploration During PlanningSemantic proximity Read

Uncertainty-Driven Exploration During PlanningSemantic proximity Read

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-step TaskSemantic proximity Read

Computational neural mechanisms of goal-directed planning and problem solvingSemantic proximity Read

Modeling the mind of a predator: Interactive cognitive maps support flexible avoidance of dynamic threatsSemantic proximity Read

On the computational principles underlying human explorationSemantic proximity Read

Flexible decision-making is related to strategy learning, vicarious trial and error, and medial prefrontal rhythms during spatial set-shiftingSemantic proximity Read

Dimension lifting in mental space for adaptive behavior in highly dynamic situationsSemantic proximity Read

When models matter: Environmental demand guides the arbitration between model-based and model-free controlSemantic proximity Read