Publication
Big team science reveals promises and limitations of machine learning efforts to model the physiological basis of affective experience
Nicholas Alvaro Coles, Bartosz Perz, Maciej Behnke, Johannes Eichstaedt, Soo-Hyung Kim, Tu N. Vu, Chirag Raman, Julian Tejada, Van Thong Huynh, Guangyi Zhang, Tanming Cui, Sharanyak Podder, Rushi Chavda, Shubham Pandey, Arpit Upadhyay, Jorge I Padilla-Buritica, Carlos J Barrera Causil, Linying Ji, Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquía-Hernández, Hideaki Uchiyama, Xin Wei, Houwei Cao, Ziqing Yang, Alessia Iancarelli, Kieran McVeigh, Yiyu Wang, Isabel M. Berwian, Jamie C Chiu, Dan-Mircea Mirea, Erik C Nook, Henna I Vartiainen, Claire Whiting, Young Won Cho, Sy-Miin Chow, Zachary F Fisher, Yanling Li, Xiaoyue Xiong, Yuqi Shen, Enzo Tagliazucchi, Leandro A Bugnon, Raydonal Ospina, Nicolás Marcelo Bruno, Tomas Ariel D'Amelio, Federico Zamberlan, Luis R Mercado Diaz, Javier O Pinzon-Arenas, Hugo F Posada-Quintero, Maneesh Bilalpur, Saurabh Hinduja, Fernando Marmolejo-Ramos, Shaun Canavan, liza jivnani, Stanislaw Saganowski
July 2025, Center for Open Science
DOI: 10.31234/osf.io/j9gbx