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1515-CURBD: Inferring Brain-Wide Interactions

The research introduces current-based decomposition (CURBD), a novel computational framework designed to map how different brain regions communicate. By using data-constrained recurrent neural networks (RNNs), the method reproduces observed neural activity to infer the direction and strength of hidden interactions between neurons. This approach allows researchers to decompose the activity of a target region into specific "source currents" arriving from other areas, revealing communication patterns that raw recordings cannot show. The authors demonstrate the system’s versatility by…

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