newsNature Machine IntelligenceTrust 88 · LabPublished 4d agoLive · 2d ago
Neural sampling from cognitive maps enables goal-directed imagination and planning
Nature Machine Intelligence, Published online: 21 July 2026; doi:10.1038/s42256-026-01254-4 Lin et al. introduce a brain-inspired generative model that provides two key features of intelligence: planning and problem-solving. It uses cognitive maps, stochastic computing and compositional coding, and requires only local synaptic plasticity.
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 50%linus-sch/Mind-Map-Wizard →
- PossiblePossibly related (embedding) · 48%SyntheticAutonomicMind/SAM →
- PossiblePossibly related (embedding) · 48%GuyMannDude/mnemo-cortex →
- PossiblePossibly related (embedding) · 48%BrainPilot: Automating Brain Discovery with Agentic Research →
- PossiblePossibly related (embedding) · 48%Brain0-ai/brain0 →
- PossiblePossibly related (embedding) · 49%MVP-Nav: Multi-layer Value Map Planner Navigator →
- PossiblePossibly related (embedding) · 47%Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation →
Covers
repolinus-sch/Mind-Map-WizardrepoSyntheticAutonomicMind/SAMrepoGuyMannDude/mnemo-cortexpaperBrainPilot: Automating Brain Discovery with Agentic ResearchrepoBrain0-ai/brain0paperMVP-Nav: Multi-layer Value Map Planner NavigatorpaperCortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
Related across the graph
paperCortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon ManipulationpaperBrainPilot: Automating Brain Discovery with Agentic ResearchrepoGuyMannDude/mnemo-cortexpaperMVP-Nav: Multi-layer Value Map Planner Navigatorrepolinus-sch/Mind-Map-WizardrepoBrain0-ai/brain0repoSyntheticAutonomicMind/SAM
