APA (7th ed.) Citation

JD, C., MJ, C., AN, B., & DB, G. (2024). Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction. Frontiers in neuroscience, 18, 1472747. https://doi.org/10.3389/fnins.2024.1472747

Chicago Style (17th ed.) Citation

JD, Chambers, Cook MJ, Burkitt AN, and Grayden DB. "Using Long Short-Term Memory (LSTM) Recurrent Neural Networks to Classify Unprocessed EEG for Seizure Prediction." Frontiers in Neuroscience 18 (2024): 1472747. https://doi.org/10.3389/fnins.2024.1472747.

MLA (9th ed.) Citation

JD, Chambers, et al. "Using Long Short-Term Memory (LSTM) Recurrent Neural Networks to Classify Unprocessed EEG for Seizure Prediction." Frontiers in Neuroscience, vol. 18, 2024, p. 1472747, https://doi.org/10.3389/fnins.2024.1472747.