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Artificial intelligence singles out neurons faster than a human can


April 12, 2019

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Biomedical engineers at Duke University have developed an automated process that can track and map active neurons as accurately as a human can, but in a fraction of the time. This new technique, based on a deep learning algorithm, addresses a critical roadblock in neuron analysis, allowing researchers to rapidly gather and process neuronal signals for real-time behavioral studies. Full Story

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Duke University

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