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DTSTART;TZID=America/New_York:20260330T150000
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SUMMARY:Speaker Josue Ortega Caro: ARNI Frontier Models for Neuroscience and Behavior Working Group
DESCRIPTION:Time: 30th March. 3pm EST\n\nTitle: Large scale models for spatiotemporal data.\nSpeaker: Josue Ortega Caro https://josueortc.github.io/\nAbstract:  Spatiotemporal and multimodal datasets contain structured variability distributed across space\, time\, and measurement modality\, motivating modeling approaches that can learn representations directly from large-scale data. Inspired by video foundational models\, we study how the masked autoencoder training objective can learn shared structure across heterogeneous observations while preserving modality-specific information\, and how training these models requires multiple engineering methods for scaling. Furthermore\, we show that self-attention supports the emergence of interpretable structure by decomposing them based on the variability across samples. These results suggest that large-scale self-supervised learning provides a unified approach for modeling high-dimensional dynamical systems while enabling interpretation of the learned representations.
URL:https://arni-institute.org/event/speaker-josue-ortega-caro-arni-frontier-models-for-neuroscience-and-behavior-working-group/
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