Matthews, J., Kikumoto, A., Miyamoto, K., & Shibata, K. (2026). Metacognition is mentally demanding. PsyArXiv.
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Lee, K., Vaichalkar, J., Dadarya, A., Chang, W., Kikumoto, A., & Nishida, J. (2026). FIXical I/O: Exploring the effects of real-time error sensing and physical intervention on finger-based motor sequence learning. ACM CHI Conference on Human Factors in Computing Systems (CHI 2026). 🏅 Honorable Mention Award
[LINK] | [DATA & CODE]

Kikumoto, A., Shibata, K., Nishio, T., & Badre, D. (2025). Practice reshapes the geometry and dynamics of task-tailored representations. Cerebral Cortex, 35(8), bhaf125.
[LINK] | [DATA & CODE]

Liu, S., Kikumoto, A., Badre, D., & Gershman, S. J. (2025). Neural and behavioral signatures of policy compression in cognitive control. Cerebral Cortex, 35(8), bhaf223.
[LINK] | [DATA & CODE]

Langeman, J., Kikumoto, A., Badre, D., Fahrenfort, J., & Slagter, H. (2025). Tracking of dynamic neural representations during goal-directed action. Cognitive Computational Neuroscience (CCN), Amsterdam.
[LINK]

Kikumoto, A., Bhandari, A., Shibata, K., & Badre, D. (2024). A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection. Nature Communications, 15, 8513.
[LINK] | [DATA & CODE]

Tsubomi, H., Fukuda, K., Kikumoto, A., Mayr, U., & Vogel, E. K. (2024). Task termination triggers spontaneous removal of information from visual working memory. Psychological Science.
[LINK] | [DATA & CODE]

Matthews, J., Kikumoto, A., Miyamoto, K., & Shibata, K. (2024). Metacognition is mentally demanding: revealing the costs and consequences of metacognitive effort. Journal of Vision, 24(10), 448.
[LINK]

Grahek, I., Ashok, A. K., Kikumoto, A., Serre, T., & Frank, M. J. (2024). Reinforcement-based control of information processing in recurrent neural networks produces optimal speed–accuracy tradeoff. CCN 2024.
[LINK] | [DATA & CODE]

Kikumoto, A., Mayr, U., & Badre, D. (2022). The role of conjunctive representations in prioritizing and selecting planned actions. eLife, 11:e80153.
[LINK] | [DATA & CODE]

Kikumoto, A., Sameshima, T., & Mayr, U. (2022). The role of conjunctive representations in stopping actions. Psychological Science.
[LINK] | [DATA & CODE]

Badre, D., Bhandari, A., Keglovits, H., & Kikumoto, A. (2021). The dimensionality of neural representations for control. Current Opinion in Behavioral Sciences, 38, 20–28.
[LINK]

Kikumoto, A., & Mayr, U. (2020). Conjunctive representations that integrate stimuli, responses, and rules are critical for action selection. PNAS, 117(19), 10603–10608.
[LINK] | [DATA & CODE]

Sereno, M. E., Robles, K. E., Kikumoto, A., & Bies, A. J. (2020). The effects of three-dimensional context on shape perception. Psychological Science.
[LINK] | [DATA & CODE]

Moss, M. E., Kikumoto, A., & Mayr, U. (2020). Does conflict resolution rely on working memory? Journal of Experimental Psychology: Learning, Memory, and Cognition, 46(12), 2410–2426.
[LINK]

Kikumoto, A., & Mayr, U. (2019). Balancing model-based and memory-free action selection under competitive pressure. eLife, 8:e48810.
[LINK] | [DATA & CODE]

Hubbard, J.*, Kikumoto, A.*, & Mayr, U. (2019). EEG decoding reveals the strength and temporal dynamics of goal-relevant representations. Scientific Reports, 9, 9051. (*equal contribution)
[LINK] | [DATA & CODE]

Kikumoto, A., & Mayr, U. (2018). Decoding hierarchical control of sequential behavior in oscillatory EEG activity. eLife, 7:e38550.
[LINK] | [DATA & CODE]

Kikumoto, A., & Mayr, U. (2017). The nature of task-set representations in working memory. Journal of Cognitive Neuroscience, 29(11), 1950–1961.
[LINK]

Kikumoto, A., Hubbard, J., & Mayr, U. (2015). Dynamics of task-set carry-over: Evidence from eye-movement analyses. Psychonomic Bulletin & Review.
[LINK]

Mayr, U., Kleffner-Canucci, K., Kikumoto, A., & Redford, M. A. (2014). Control of task sequences: What is the role of language? Journal of Experimental Psychology: Learning, Memory, and Cognition.
[LINK]