Arkady Konovalov
I am an Associate Professor in the School of Psychology at the University of Birmingham.
My research focuses on neuroeconomics and decision making in general, including models of the choice process, value-based learning, and social and strategic interactions, using methods of computational neuroscience such as response times modeling, fMRI, EEG, eye-tracking, and mouse-tracking.
I received my PhD from the Ohio State University, where I worked with Ian Krajbich, PJ Healy, and John Kagel; I then got my postdoctoral training with Christian Ruff at the University of Zurich.
Email: a.konovalov (at) bham.ac.uk
Working papers
Konovalov, A., Hu, J., & Ruff, C.C. (2023). Neural Dynamics Underlying Strategic Social Decisions. [contact me]
Lugrin, C., Konovalov, A., & Ruff, C.C. (2022). Salience-based information integration: An overarching function of the “social brain”? (in revision) [html]
Lugrin, C.*, Konovalov, A.*, & Ruff, C.C. (2023). Facilitating Cooperation by Manipulating Attention. (revise & resubmit) [html]
Konovalov, A. (2023). Ten Tips for Running Behavioral Experiments Using Human Participants. (in revision) [pdf]
Buergi, N.*, Aydogan, G.*, Konovalov, A., & Ruff, C.C. (2024). A Neural Fingerprint of Adaptive Mentalization. (revise & resubmit) [pdf]
Buergi, N., Konovalov, A., Biegel, C., Villar de Araujo, T., Aydogan, G., & Ruff, C.C. (2024). Neurocomputational signatures of altered adaptive mentalization in autism. (in revision).
Refereed publications
Bavard, S., Stuchlý, E., Konovalov, A., & Gluth, S. (2024). Beyond Choices: Humans Can Infer Social Preferences from Response Times Alone. PLOS Biology , 22(6): e3002686. [html] [prereg] [data&code] [press release]
Bergmann, U., & Konovalov, A. (2024). Auction Design and Order of Sale with Budget-Constrained Bidders. Experimental Economics, 27, 36-57. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2023). Decision Times Reveal Private Information in Strategic Settings: Evidence from Bargaining Experiments. The Economic Journal, 133(656), 3007-3033. [html] [data&code] [press release]
Hu, J., Konovalov, A., & Ruff, C.C. (2023). A Unified Neural Account of Contextual and Individual Differences in Altruism. eLife 12:e80667. [html] [pdf] [data&code]
Konovalov, A., & Ruff, C.C. (2022). Enhancing Models of Social and Strategic Decision Making with Process Tracing and Neural Data. WIREs Cognitive Science, 13:e1559. [html] [pdf]
Konovalov, A.*, Hill, C.*, Daunizeau, J., & Ruff, C.C. (2021). Dissecting Functional Contributions of the Social Brain to Strategic Behavior. Neuron, 109, 3323–333. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2020). Mouse Tracking Reveals Structure Knowledge in the Absence of Model-Based Choice. Nature Communications, 11. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2019). Revealed Strength of Preference: Inference from Response Times. Judgement and Decision Making, 14(4), 381-394. [html] [pdf] [data]
Konovalov, A., & Krajbich, I. (2019). Over a Decade of Neuroeconomics: What Have We Learned?Organizational Research Methods, 22(1), 148-173. [html] [pdf]
Konovalov, A., & Krajbich, I. (2018). Neurocomputational Dynamics of Sequence Learning. Neuron, 98(6), 1282-1293. [html] [pdf]
Konovalov, A.*, Hu, J.*, & Ruff, C.C.* (2018). Neurocomputational Approaches to Social Behavior. Current Opinion in Psychology, 24, 41-47. [html]
Konovalov, A., & Krajbich, I. (2016). Gaze Data Reveal Distinct Choice Processes Underlying Model-Based and Model-Free Reinforcement Learning. Nature Communications, 7. [html] [pdf]
Non-refereed publications
Konovalov, A., & Krajbich, I. (2017). Money in the Bank: Distortive Effects of Accumulated Earnings on Risky Choice. Neuron, 93(3). [html] [pdf] (preview of Juechems et al. 2017)
Research in progress
Neurocomputational Underpinnings of Cooperation (with Claire Lugrin and Christian Ruff).
Cognitive Changes in Theory of Mind in Aging (with Patricia Lockwood and Christian Ruff).
Computational modeling of simple planning behavior.
Bottom-up and top-down attention in value-based choice.
* Equal contribution.