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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model

    Researchers have developed Topo-Omni, a novel topographic multimodal model that integrates visual, auditory, and language processing onto a single in-silico sheet. This model, fine-tuned from a pretrained foundation model, demonstrates that a unified spatial principle can organize representations across different modalities and processing stages. The model's clusters align with human neuroimaging findings, and manipulating these clusters selectively impacts perception, offering testable hypotheses about cortical organization. AI

    IMPACT This model offers a new framework for understanding brain organization and can generate testable hypotheses for neuroscience research.