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Mingbo Cai
Mingbo Cai
Other namesMing Bo Cai
PI & Assistant Professor, IRCN, The University of Tokyo
Verified email at ircn.jp - Homepage
Title
Cited by
Cited by
Year
Human orbitofrontal cortex represents a cognitive map of state space
NW Schuck, MB Cai, RC Wilson, Y Niv
Neuron 91 (6), 1402-1412, 2016
4082016
A neural model for temporal order judgments and their active recalibration: a common mechanism for space and time?
M Cai, C Stetson, DM Eagleman
Frontiers in psychology 3, 470, 2012
842012
Transfer learning via minimizing the performance gap between domains
B Wang, JA Mendez, MB Cai, E Eaton
Advances in Neural Information Processing Systems 32, 10645-10655, 2019
392019
Perceived duration is reduced by repetition but not by high-level expectation
MB Cai, DM Eagleman, WJ Ma
Journal of Vision 15 (13), 19-19, 2015
382015
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias
MB Cai, NW Schuck, JW Pillow, Y Niv
PLoS computational biology 15 (5), e1006299, 2019
332019
A Bayesian method for reducing bias in neural representational similarity analysis
MB Cai, NW Schuck, JW Pillow, Y Niv
Advances In Neural Information Processing Systems, 4952-4960, 2016
292016
Facilitating open-science with realistic fMRI simulation: validation and application
C Ellis, C Baldassano, AC Schapiro, MB Cai, JD Cohen
PeerJ 8, e8564, 2020
272020
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
202021
Duration estimates within a modality are integrated sub-optimally
MB Cai, DM Eagleman
Frontiers in Psychology 6, 2015
132015
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
MB Cai, M Shvartsman, A Wu, H Zhang, X Zhu
Neuropsychologia 144, 107500, 2020
102020
A novel approach to activation detection in fMRI based on empirical mode decomposition
T Zheng, M Cai, T Jiang
Journal of integrative neuroscience 9 (04), 407-427, 2010
72010
Learning what is relevant for rewards via value-based serial hypothesis testing
M Song, Y Niv, MB Cai
42nd Annual Meeting of the Cognitive Science Society, July 29, 2020
32020
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Z Duan, MR Min, LE Li, M Cai, Y Xu, B Ni
arXiv preprint arXiv:1902.11134, 2019
32019
Real time functional MRI training to decrease motion in imaging studies: lack of significant improvement
TM Lal, PR Baldwin, MB Cai, RR Savjani, DM Eagleman, D Ress, R Salas
Bulletin of the Menninger Clinic 80 (4), 348-356, 2016
32016
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
M Song, PA Baah, MB Cai, Y Niv
PLOS Computational Biology 18 (11), e1010699, 2022
12022
Learning to perceive objects by prediction
T Arora, LE Li, MB Cai
SVRHM 2021 Workshop@ NeurIPS, 2021
12021
Using Recurrent Neural Networks to Understand Human Reward Learning
M Song, Y Niv, MB Cai
Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021
12021
A neural model for temporal order judgments and their active recalibration: a common mechanism for space and time?
D Eagleman, M Cai, C Stetson
Journal of Vision 9 (8), 2-2, 2009
12009
Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis.
MB Cai, N Schuck, M Anderson, J Pillow, Y Niv
Journal of Vision 17 (10), 571-571, 2017
2017
Dissecting the neural network of duration perception with fMRI
M Cai, D Eagleman
Journal of Vision 14 (10), 1140-1140, 2014
2014
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