Neural sampling from cognitive maps enables goal-directed imagination and planning

TL;DR - Lin et al. present a brain-inspired generative model that samples from cognitive maps to support goal-directed imagination, planning, and problem-solving. Its reliance on local synaptic plasticity may offer a biologically plausible route to intelligent computation.

• Combines cognitive maps, stochastic computing, and compositional coding.
• Generates imagined possibilities for goal-directed planning.
• Requires only local synaptic plasticity.
• Connects neuroscience-inspired mechanisms with computational planning.