Albizu, Alejandro, Fang, Ruogu, Indahlastari, Aprinda, O’Shea, Andrew, Stolte, Skylar E., See, Kyle B., Boutzoukas, Emanuel M., Kraft, Jessica N., Nissim, Nicole R., and Woods, Adam J. Machine learning and individual variability in electric field characteristics predict tDCS treatment response. Retrieved from https://par.nsf.gov/biblio/10296299. Brain Stimulation 13.6 Web. doi:10.1016/j.brs.2020.10.001.

Albizu, Alejandro, Fang, Ruogu, Indahlastari, Aprinda, O’Shea, Andrew, Stolte, Skylar E., See, Kyle B., Boutzoukas, Emanuel M., Kraft, Jessica N., Nissim, Nicole R., & Woods, Adam J. Machine learning and individual variability in electric field characteristics predict tDCS treatment response. Brain Stimulation, 13 (6). Retrieved from https://par.nsf.gov/biblio/10296299. https://doi.org/10.1016/j.brs.2020.10.001

Albizu, Alejandro, Fang, Ruogu, Indahlastari, Aprinda, O’Shea, Andrew, Stolte, Skylar E., See, Kyle B., Boutzoukas, Emanuel M., Kraft, Jessica N., Nissim, Nicole R., and Woods, Adam J. "Machine learning and individual variability in electric field characteristics predict tDCS treatment response". Brain Stimulation 13 (6). Country unknown/Code not available. https://doi.org/10.1016/j.brs.2020.10.001. https://par.nsf.gov/biblio/10296299.

@article{osti_10296299,
place = {Country unknown/Code not available}, title = {Machine learning and individual variability in electric field characteristics predict tDCS treatment response}, url = {https://par.nsf.gov/biblio/10296299}, DOI = {10.1016/j.brs.2020.10.001}, abstractNote = {}, journal = {Brain Stimulation}, volume = {13}, number = {6}, author = {Albizu, Alejandro and Fang, Ruogu and Indahlastari, Aprinda and O’Shea, Andrew and Stolte, Skylar E. and See, Kyle B. and Boutzoukas, Emanuel M. and Kraft, Jessica N. and Nissim, Nicole R. and Woods, Adam J.}, editor = {null} }