Publications

Cao, A., Lewis, M., Tsuji, S., Bergmann, C., Cristia, A. & C Frank, M. (2025). Estimating Age-Related Change in Infants' Linguistic and Cognitive Development Using (Meta-)Meta-Analysis. Developmental science, 28(4), e70028. doi:10.1111/desc.70028

Cassar, A. , Cristia, A., A. Grosjean, P. & Walker, S. (2025). It makes a village: child care and prosociality. J Econ Growth. doi:10.1007/s10887-025-09254-6

Laudańska, Z., Caunt, A., Cristia, A., Warlaumont, A., Patsis, K., Tomalski, P., Warreyn, P., H Abney, D., I Borjon, J., Airaksinen, M., Jh Jones, E., Bölte, S., Dall, M., Holzinger, D., Poustka, L., Roeyers, H., Wass, S., Zhang, D. & B Marschik, P. (2025). From data to discovery: Technology propels speech-language research and theory-building in developmental science. Neuroscience and biobehavioral reviews, 174, 106199. doi:10.1016/j.neubiorev.2025.106199

Lavechin, M., De Seyssel, M., Titeux, A. , Wisniewski, G., Bredin, H., Cristia, A. & Dupoux, E. (2025). Simulating Early Phonetic and Word Learning Without Linguistic Categories. Developmental science, 28(2), e13606. doi:10.1111/desc.13606

M Hayes, W., Yax, N. & Palminteri, S. (2025). Relative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation. Open mind : discoveries in cognitive science, 15(10), 989-1001. doi:10.1162/opmi_a_00209

Palminteri, S. (2025). Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy. Mind Soc. doi:10.1007/s11299-025-00329-w

S Meera, S., Swaminathan, D., Ranjani Venkata Murali, S., Raju, R., Srikar, M., Shyam Sundar, S., Amudhan, S., Cristia, A., Pawar, R., Rao, A., P Vasuki, P., Volme, S. & Mysore, A. (2025). Validation of the Language ENvironment Analysis (LENA) Automated Speech Processing Algorithm Labels for Adult and Child Segments in a Sample of Families From India. Journal of speech, language, and hearing research : JSLHR, 68(1), 40-53. doi:10.1044/2024_JSLHR-24-00099

Scaff, C. & Cristia, A. (2025). A Meta-Analysis of the Correlation Between Socioeconomic Status and Direct Measures of Young Children's Word Comprehension. Infancy : the official journal of the International Society on Infant Studies, 30(4), e70035. doi:10.1111/infa.70035

Scaff, C., Loukatou, G., Cristia, A. & Havron, N. (2025). Demographic Biases in Naturalistic Language Recordings in the CHILDES Database. Developmental science, 28(3), e70011. doi:10.1111/desc.70011

Tomova, L., Towner, E., Thomas, K., Zhang , L., Palminteri, S. & Blakemore, S. (2025). Acute isolation is associated with increased reward seeking and reward learning in human adolescents. Communications psychology, 3(1), 135. doi:10.1038/s44271-025-00306-6

Turner, G., M Ferguson, A., Katiyar, T., Palminteri, S. & Orben, A. (2025). Old Strategies, New Environments: Reinforcement Learning on Social Media. Biological psychiatry, 97(10), 989-1001. doi:10.1016/j.biopsych.2024.12.012

Vrizzi, S., Najar, A., Lemogne, C. , Palminteri, S. & Lebreton, M. (2025). Behavioral, computational and self-reported measures of reward and punishment sensitivity as predictors of mental health characteristics. Nature Mental Health, 3, 654–666. doi:10.1038/s44220-025-00427-1

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., José Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva Concha, J., Hertz, U., B Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2024). Comparing experience- and description-based economic preferences across 11 countries. Nature human behaviour, 8(8), 1554-1567. doi:10.1038/s41562-024-01894-9

C M Gueguen, M., Anlló, H., Bonagura, D., Kong, J., Hafezi, S., Palminteri, S. & B Konova, A. (2024). Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. Biological psychiatry, 95(10), 974-984. doi:10.1016/j.biopsych.2023.12.005

Coffey, J. & Snedeker, J. (2024). Disentangling the roles of age and knowledge in early language acquisition: A fine-grained analysis of the vocabularies of infant and child language learners. Cognitive Psychology, 153(101681). doi:10.1016/j.cogpsych.2024.101681

Hosein Hadian Rasanan, A., J Evans, N., Fontanesi , L., Manning, C., Huang-Pollock, C., Matzke, D., Heathcote, A., Rieskamp, J., Speekenbrink, M., J Frank, M., Palminteri, S., G Lucas, C., R Busemeyer, J., Ratcliff, R. & Amani Rad, J. (2024). Beyond discrete-choice options. Trends in cognitive sciences, 28(9), 857-870. doi:10.1016/j.tics.2024.07.004

Julia Hermida, M., Narea, M., Singh, L. & Cristia, A. (2024). Insights into infant behavior and development from Latin America. Infant behavior & development, 76, 101979. doi:10.1016/j.infbeh.2024.101979

Lavechin, M., de Seyssel, M., Metais, M., Metze, F., Mohamed, A., Bredin, H., Dupoux, E. & Cristia, A. (2024). Modeling early phonetic acquisition from child-centered audio data. Cognition, 245, 105734. doi:10.1016/j.cognition.2024.105734

Léon, M. , Meera, S. , Fiévet, A. & Cristia, A. (2024). Long-form recordings in low-and middle-income countries: recommendations to achieve respectful research. Research Ethics, 20(1), 96-111. doi:10.1177/17470161231199382

Lussange, J., Vrizzi, S., Palminteri, S. & Gutkin, B. (2024). Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study. PloS one, 19(4), e0301141. doi:10.1371/journal.pone.0301141

Scaff, C., Casillas , M., Stieglitz, J. & Cristia, A. (2024). Characterization of children's verbal input in a forager-farmer population using long-form audio recordings and diverse input definitions. Infancy : the official journal of the International Society on Infant Studies, 29(2), 196-215. doi:10.1111/infa.12568

Yax, N. , Anlló, H. & Palminteri, S. (2024). Studying and improving reasoning in humans and machines. Communications Psychology volume, 2(51). doi:10.1038/s44271-024-00091-8

Andrea Cruz Blandón, M., Cristia, A. & Räsänen, O. (2023). Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development. Cognitive science, 47(7), e13307. doi:10.1111/cogs.13307

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva, J., Hertz, U., Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2023). Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide. Research square, . doi:10.21203/rs.3.rs-2621222/v1

Aravena-Bravo, P., Cristia, A., Garcia, R. , Kotera, H. , Kunene Nicolas, R., Laranjo, R. & et al., .. (2023). Towards Diversifying Early Language Development Research: The First Truly Global International Summer/Winter School on Language Acquisition (/L+/) 2021. Journal of Cognition and Development, 25(2), 242–260. doi:10.1080/15248372.2023.2231083

Bavard, S. & Palminteri, S. (2023). The functional form of value normalization in human reinforcement learning. eLife, 12, e83891. doi:10.7554/eLife.83891

C M Gueguen, M., Anlló, H., Bonagura, D., Kong, J., Hafezi, S., Palminteri, S. & B Konova, A. (2023). Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. Biological psychiatry, . doi:10.1016/j.biopsych.2023.12.005

Cassar, A. , Cristia, A., A. Grosjean, P. & Walker, S. (2023). It Makes a Village: Allomaternal Care and Prosociality. UNSW Economics Working Paper . doi:10.2139/ssrn.4285074

Cheng, S. , Du, J., Niu, S. , Cristia, A., Wang, X., Wang, Q. & Lee, C. (2023). Using iterative adaptation and dynamic mask for child speech extraction under real-world multilingual conditions. Speech Communication, 152, 102956. doi:10.1016/j.specom.2023.102956

Collomb-Clerc, A., C M Gueguen, M., Minotti, L., Kahane, P., Navarro , V., Bartolomei, F., Carron, R., Régis, J., Chabardès, S., Palminteri, S. & Bastin, J. (2023). Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning. Nature communications, 14(1), 6534. doi:10.1038/s41467-023-42380-6