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  "headline": "Computational Neuroscience: AI Models of Brain Circuits, Connectomics, and Neural Computation",
  "description": "Computational neuroscience uses AI both as a tool and a model — deep learning automates the reconstruction of brain wiring diagrams (connectomics), while theories like predictive coding and reinforcement learning provide mathematical frameworks explaining how neural circuits compute. The convergence of large-scale neural data and AI models is creating an unprecedented window into the biological basis of intelligence.",
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  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
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      "name": "MICrONS: Functional connectomics spanning multiple areas of mouse visual cortex",
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      "name": "Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects",
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