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

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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.

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

Nature Machine Intelligence Hui Lin, Yukun Yang, Rong Zhao, Giovanni Pezzulo, Wolfgang Maass 2026-07-21 doi:10.1038/s42256-026-01254-4
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Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-08-21 14:39:11.437281 UTC

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.
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