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Improving brain models with ZAPBench

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In collaboration with HHMI Janelia & Harvard, we introduce ZAPBench, a whole-brain activity dataset and benchmark with single cell resolution on the larval zebrafish to enable the development and comparison of more accurate brain activity models. Inside every brain lies a staggering number of neurons, firing complex patterns of electrical impulses through a vast and intricate network of synapses. Understanding these patterns is key to understanding how they generate complex behavior. The pursuit of connectomics — comprehensively mapping all the neural connections in the brain — offers a powerful approach to this problem. Google has made fundamental contributions to connectomics over the past decade, creating maps in several species, including humans. But these structural maps can only take us so far. They tell us how cells are connected, but to understand how these connections are used, we need data capturing the dynamic activity of neurons over time. While researchers have previously

Inside every brain lies a staggering number of neurons, firing complex patterns of electrical impulses through a vast and intricate network of synapses. Understanding these patterns is key to understanding how they generate complex behavior. The pursuit of connectomics — comprehensively mapping all the neural connections in the brain — offers a powerful approach to this problem. Google has made fundamental contributions to connectomics over the past decade, creating maps in several species, including humans. But these structural maps can only take us so far. They tell us how cells are…

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