Mingbo Cai 个人学术档案 - 学术资源搜索

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Yael NivProfessor of Psychology and Neuroscience, Princeton University在 princeton.edu 的电子邮件经过验证
David EaglemanAdjunct Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Nicolas W SchuckProfessor of Cognitive Neuroscience, Institute of Psycholgy, Universität Hamburg在 mpib-berlin.mpg.de 的电子邮件经过验证
Robert WilsonGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Jonathan PillowProfessor of Neuroscience, Princeton University在 princeton.edu 的电子邮件经过验证
Mingyu SongPrinceton University在 princeton.edu 的电子邮件经过验证
Boyu WangDepartment of Computer Science, University of Western Ontario在 csd.uwo.ca 的电子邮件经过验证
Wei Ji MaProfessor of Neuroscience and Psychology at New York University在 nyu.edu 的电子邮件经过验证
Jonathan D. CohenProfessor of Neuroscience在 princeton.edu 的电子邮件经过验证
Anna SchapiroAssistant Professor, University of Pennsylvania在 sas.upenn.edu 的电子邮件经过验证
Christopher BaldassanoColumbia University在 columbia.edu 的电子邮件经过验证
Cameron T EllisAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Anqi WuAssistant Professor, Computational Science and Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
Hejia ZhangPrinceton University在 princeton.edu 的电子邮件经过验证
Michael ShvartsmanResearch Scientist, Meta Reality Labs Research在 oculus.com 的电子邮件经过验证
Tianzi Jiang, MAE, FIEEE, FIAPR, FAI...Brainnetome Center, Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
Li Erran LiIEEE Fellow and ACM Fellow, AWS AI, Amazon在 cs.columbia.edu 的电子邮件经过验证
David RessBaylor College of Medicine在 bcm.edu 的电子邮件经过验证
Ramiro SalasBaylor College of Medicine, MEDVAMC, The Menninger Clinic在 bcm.edu 的电子邮件经过验证
Ricky R. SavjaniUCLA在 mednet.ucla.edu 的电子邮件经过验证

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Mingbo Cai

其他姓名Ming Bo Cai

Assistant Professor, Department of Psychology, University of Miami

在 miami.edu 的电子邮件经过验证 - 首页

spontaneous thoughts decision making Bayesian inference fMRI machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Human orbitofrontal cortex represents a cognitive map of state space NW Schuck, MB Cai, RC Wilson, Y Niv Neuron 91 (6), 1402-1412, 2016	552	2016
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	89	2012
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	72	2019
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	51	2019
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	51	2015
BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022	49	2022
Facilitating open-science with realistic fMRI simulation: validation and application C Ellis, C Baldassano, AC Schapiro, MB Cai, JD Cohen PeerJ 8, e8564, 2020	33	2020
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	32	2016
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	17	2020
Duration estimates within a modality are integrated sub-optimally MB Cai, DM Eagleman Frontiers in Psychology 6, 2015	14	2015
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	8	2022
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	8	2010
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	7	2021
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	6*	2020
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	4	2019
Learning to perceive objects by prediction T Arora, LE Li, MB Cai SVRHM 2021 Workshop@ NeurIPS, 2021	3	2021
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	3	2016
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	1	2009
The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes W Chen, AT Nakamura, J Ding, N Okada, S Koike, S Yagishita, S Ishii, ... https://doi.org/10.31234/osf.io/kvu7c, 2024		2024
Learning 3D object-centric representation through prediction J Day, T Arora, J Liu, LE Li, MB Cai arXiv preprint arXiv:2403.03730, 2024		2024

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