Voros, J., Rise, R., Sherman, S., Durell, A., Anderson, A. P., & Clark, T. K. (2022). A machine learning approach to identify stochastic resonance in human perceptual thresholds. Journal of neuroscience methods, 374, 109559. https://doi.org/10.1016/j.jneumeth.2022.109559
Chicago Style (17th ed.) CitationVoros, Jamie, Rachel Rise, Sage Sherman, Abigail Durell, Allison P. Anderson, and Torin K. Clark. "A Machine Learning Approach to Identify Stochastic Resonance in Human Perceptual Thresholds." Journal of Neuroscience Methods 374 (2022): 109559. https://doi.org/10.1016/j.jneumeth.2022.109559.
MLA (9th ed.) CitationVoros, Jamie, et al. "A Machine Learning Approach to Identify Stochastic Resonance in Human Perceptual Thresholds." Journal of Neuroscience Methods, vol. 374, 2022, p. 109559, https://doi.org/10.1016/j.jneumeth.2022.109559.