Biomedical engineers 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.
Artificial intelligence singles out neurons faster than a human can
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