Academic Publications

Work-in-Progress

Kwon, D. Jolly, E., Chang, L.J., Shim, W.M. (in prep). Modeling dynamic social interactions reveals neural representions of multidimensional social relational knowledge.

Choi, Y.J., Jolly, E., Smith A., Gangadharan, A.A., Hoidal, A.S. & Chang, L.J. (in prep). Balancing Guilt and Costs: The Role of Emotions and Exogenous Constraints for End-of-Life Care

Jolly, E., Sadhukha, S., Iqbal, M., Chen, J. & Chang, L.J. (in prep). Person memory is supported by the neural reinstatement of social interactions.

2025

Le, K.* Jadhav, A.* & Jolly, E. (2025). Statistical Intuitions for Social Scientists.
*Equal contribution
open course materials

Varrier, R.S., Su, Z. Liang, Q., Benson, T. Jolly, E., & Finn, E.S. (under review). Shared and individual tuning curves for social vision. bioRxiv.
preprint

Jolly, E., Sadhukha, S., Iqbal, M., Molani, Z., Walsh, T.M., Manning, J.R., & Chang, L.J. (under revision). People are represented and remembered through their relationships with others. PsyArxiv.
preprint

2024

Gao, X., Jolly, E., Yu, H., Liu, H., Zhou, X., & Chang, L.J. (2024). The psychological, computational, and neural foundations of indebtedness. Nature Communications.
manuscript

2023

Jolly, E.*, Cheong, J.H.*, Xie, T.*, Byrne, S. Kenny, M., & Chang, L.J. (2023). Py-Feat: Python Facial Expression Analysis Toolbox. Affective Science.
*Equal contribution
manuscript | toolbox

2022

Jolly, E., Farrens, M., Greenstein, N., Eisenbarth, H., Reddan, M.C., Andrew, E., Wager, T.D., & Chang, L.J. (2022). Recovering individual emotional states from sparse ratings using collaborative filtering. Affective Science.
manuscript | data & code | toolbox

2021

Jolly, E. & Chang, L.J. (2021). Multivariate spatial feature selection in fMRI. Social Cognitive and Affective Neuroscience 16(8), 795-806.
manuscript

Jolly, E. & Chang, L.J. (2021). Gossip drives vicarious learning and facilitates social connections. Current Biology 31, 1-11.
manuscript | data & code
Coverage: New York Times, VPR News, PNAS Journal Club

Chang, L.J., Jolly, E., Cheong, J.H., Rapuano, K., Greenstein, N., Chen, P.A., & Manning, J.R. (2021). Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience. Science Advances 7(17), 1-17.
manuscript | data & code

2020

Jolly, E.*, Sadhukha, S.*, & Chang, L.J. (2020). Response to Lynch et al: On measuring head motion and effects of head molds during fMRI. NeuroImage 117484.
*Equal contribution
manuscript | data & code

Jolly, E.*, Sadhukha, S.*, & Chang, L.J. (2020). Custom-molded headcases have limited efficacy in reducing head motion during naturalistic fMRI experiments. NeuroImage 117207.
*Equal contribution
manuscript | data & code

Chen, P.H.A., Jolly, E., Cheong, J.H., & Chang, L.J. (2020). Intersubject representational similarity analysis reveals individual variations in affective experience when watching erotic movies. NeuroImage 116851.
manuscript | data & code

2019

Chen, P.H.A., Cheong, J.H., Jolly, E., Elhence, H., Wager, T.D., & Chang, L.J. (2019). Socially transmitted placebo effects. Nature Human Behavior 3, 1295-1305.
manuscript | data & code

Jolly, E.*, Tamir, D.I.*, Burum, B.A., & Mitchell, J.P. (2019). Wanting without enjoying: The social value of sharing experiences. PLoS One 14(4), e0215318.
*Equal contribution
manuscript | data & code

Jolly, E., & Chang, L.J. (2019). The Flatland Fallacy: Moving Beyond Low Dimensional Thinking. Topics in Cognitive Science 1-22.
manuscript | data & code

2018

Jolly, E. (2018). Pymer4: Connecting R and Python for linear mixed modeling. Journal of Open Source Software 3(31), 862.
manuscript | toolbox

Chang, L. J. & Jolly E. (2018). Emotions as computational signals of goal error. In A. Fox, R. Lapate, A. Shackman & R. Davidson (Eds), The Nature of Emotion (343-351). Oxford University Press.
manuscript

2017

Cheong, J.C., Jolly, E., Sul, S., & Chang, L.J. (2017). Computational Models in Social and Affective Neuroscience in Moustafa, A. (Eds), Computational Models of Brain and Behavior (229-245). Hoboken, NJ: Wiley.
manuscript

Rane, S.*, Jolly, E.*, Park, A.*, Jang, H*., & Craddock, R.C. (2017). Developing predictive biomarkers using whole-brain classifiers: Application to the ABIDE I dataset. Research Ideas and Outcomes 3:e12733.
*Equal contribution
manuscript

2014

Moran, J.M., Jolly, E., & Mitchell, J.P. (2014). Spontaneous mentalizing predicts the fundamental attribution error. Journal of Cognitive Neuroscience 26(3), 569-576.
manuscript

2012

Moran, J.M., Jolly, E., & Mitchell, J.P. (2012). Social-cognitive deficits in normal aging. Journal of Neuroscience 32(16), 5553-5561.
manuscript

2011

Jolly, E. (2011). Testing domain specificity: Conceptual knowledge of living and non-living things. The Yale Review of Undergraduate Research in Psychology 2, 94-118.
manuscript