Cite
Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity.
MLA
Balzekas, Irena, et al. “Method for Cycle Detection in Sparse, Irregularly Sampled, Long-Term Neuro-Behavioral Timeseries: Basis Pursuit Denoising with Polynomial Detrending of Long-Term, Inter-Ictal Epileptiform Activity.” PLoS Computational Biology, vol. 20, no. 4, Apr. 2024, pp. 1–25. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1011152.
APA
Balzekas, I., Trzasko, J., Yu, G., Richner, T. J., Mivalt, F., Sladky, V., Gregg, N. M., Van Gompel, J., Miller, K., Croarkin, P. E., Kremen, V., & Worrell, G. A. (2024). Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity. PLoS Computational Biology, 20(4), 1–25. https://doi.org/10.1371/journal.pcbi.1011152
Chicago
Balzekas, Irena, Joshua Trzasko, Grace Yu, Thomas J. Richner, Filip Mivalt, Vladimir Sladky, Nicholas M. Gregg, et al. 2024. “Method for Cycle Detection in Sparse, Irregularly Sampled, Long-Term Neuro-Behavioral Timeseries: Basis Pursuit Denoising with Polynomial Detrending of Long-Term, Inter-Ictal Epileptiform Activity.” PLoS Computational Biology 20 (4): 1–25. doi:10.1371/journal.pcbi.1011152.