1. *Doya K, Taniguchi T, Toward evolutionary and developmental intelligence, Current Opinion in Behavioral Sciences, 2019, 29, 91-96, reviewed BibTeX
2. *Li N+, Wang Y+, Jing F, Zha R, Wei Z, Yang LZ, Geng X, Tanaka K, *Zhang X, A role of the lateral prefrontal cortex in the congruency sequence effect revealed by transcranial direct current stimulation, Psychophysiology, 2021, 58, 5, e13784, reviewed & BibTeX
3. *Fung Chi Chung Alan、*Fukai Tomoki, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, online journal BibTeX
4. *Fung C.C.A, *Fukai T, Competition on Presynaptic Resources Enhances the Discrimination of Interfering Memories, PNAS Nexus, 2023, in press, online journal BibTeX
5. Taisei Sugiyama, Nicolas Schweighofer, *Jun Izawa, Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance, Nature communications, 2023, 14, 3988, reviewed BibTeX
6. *Yoshizawa T, Ito M, Doya K, Neuronal Representation of a Working Memory-Based Decision Strategy in the Motor and Prefrontal Cortico-Basal Ganglia Loops, eNeuro, 2023, 10, 6, 0413-22, reviewed, Open access BibTeX
7. *Nishioka T, Attachaipanich S, Hamaguchi K, Lazarus M, de Kerchove d’Exaerde A, *Macpherson T, *Hikida T., Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice., Nature Communications, 2023, 14, 1, 2284, reviewed#& BibTeX
8. Nishioka, Tadaaki, Attachaipanich, Suthinee, Hamaguchi, Kosuke, Lazarus, Michael, de Kerchove d’Exaerde, Alban, Macpherson, Tom, Hikida, Takatoshi, Error-related signaling in nucleus accumbens D2 receptor-expressing neurons guides inhibition-based choice behavior in mice, Nature Communications, 2023, 14, 2284, reviewed# BibTeX
9. Nakamura D, *Gomi H, Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion, Neural Networks, 2023, 162, 516-530, open access: https://doi.org/10.1016/j.neunet.2023.03.020.BibTeX
10. *Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo, Learning global spatial information for multi-view object-centric models, Advanced Robotics, 2023, 37, 8, reviewed BibTeX
11. Koki Mimura*, Jumpei Matsumoto, Daichi Mochihashi, Tomoaki Nakamura, Toshiyuki Hirabayashi, Makoto Higuchi, Takafumi Minamimoto*, Unsupervised decomposition of natural monkey behavior into a sequence of motion motifs, bioRxiv, 2023, under review BibTeX
12. *Tomoki Fukai, Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
13. *Fukai T , Computational models of Idling brain activity for memory processing. In NSR special issue “The idling brain in cognition”, Neuroscience Research, 2023, 189, 75-87, review airticle, Epub ahead of print on 2022/12/30 BibTeX
14. Oguchi M, Li Y, Matsumoto Y, Kiyonari T, Yamamoto K, Sugiura S, Sakagami M*, Proselfs depend more on model-based than model-free learning in a non-social probabilistic state-transition task, Scientific Reports, 2023, 13, 1, reviewed BibTeX
15. *Abekawa N, Doya K, Gomi H, Body and visual instabilities functionally modulate implicit reaching corrections, iSience, 2022, 26 BibTeX
16. Inagaki M, Inoue K, Tanabe S, Kimura K, Takada M, Fujita I, Morphological changes of large layer V pyramidal neurons in cortical motor-related areas after spinal cord injury in macaque monkeys.., Cereb Cortex, 2023, 33, 895-915, reviewed BibTeX
17. *Tsuyuzaki, K., Yamamoto, K., Toyoshima, Y., Sato, H., Kanamori, M., Teramoto, T., Ishihara, T., Iino, Y., and Nikaido, I., WormTensor: a clustering method for time-series whole-brain activity data from C. elegans., BMC Bioinformatics, 2023, in press, reviewed BibTeX
