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.