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ORCIDWei Ji Ma
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2020 – today
- 2023
[j12]Zeming Fang
, Ilona M. Bloem, Catherine Olsson, Wei Ji Ma, Jonathan Winawer:
Normalization by orientation-tuned surround in human V1-V3. PLoS Comput. Biol. 19(12) (2023)- 2022
- [c23]Dongjae Kim, Sherry Dongqi Bao, Qixiu Fu, Wei Ji Ma:
Undoing in human planning. CogSci 2022 - [c22]Dongjae Kim, Heiko H. Schütt, Wei Ji Ma:
Reward Prediction Error Neurons Implement an Efficient Code for Reward. CogSci 2022 - [c21]Ionatan Kuperwajs, Wei Ji Ma:
A joint analysis of dropout and learning functions in human decision-making with massive online data. CogSci 2022 - [c20]Ionatan Kuperwajs, Heiko H. Schütt, Wei Ji Ma:
Improving a model of human planning via large-scale data and deep neural networks. CogSci 2022 - [c19]Hsin-Hung Li, Wei Ji Ma:
A meta-inference model of confidence. CogSci 2022 - [c18]Ili Ma, Camille V. Phaneuf, Bas van Opheusden, Wei Ji Ma, Catherine Hartley:
Distinct Developmental Trajectories In The Cognitive Components Of Complex Planning. CogSci 2022 - [c17]Luísa Leonelli de Moraes, Peiyuan Zhang, Yijun Lin, Wei Ji Ma:
Procrastination and the Intention-Behavior Gap. CogSci 2022 - [c16]Peiyuan Zhang, Yijun Lin, Wei Ji Ma:
Effects of reward schedule and pressure on procrastination. CogSci 2022 - [c15]Zheyang (Sam) Zheng, Xinlei (Daisy) Lin, Jake Topping, Wei Ji Ma:
Comparing Machine and Human Learning in a Planning Task of Intermediate Complexity. CogSci 2022 - [i4]Heiko H. Schütt, Wei Ji Ma:
Unsupervised learning of features and object boundaries from local prediction. CoRR abs/2205.14195 (2022) - 2021
- [j11]Zhi-Wei Li, Wei Ji Ma:
An uncertainty-based model of the effects of fixation on choice. PLoS Comput. Biol. 17(8) (2021) - [j10]Jennifer Laura Lee, Wei Ji Ma:
Point-estimating observer models for latent cause detection. PLoS Comput. Biol. 17(10) (2021) - [c14]Ionatan Kuperwajs, Wei Ji Ma:
Planning to plan: a Bayesian model for optimizing the depth of decision tree search. CogSci 2021 - [c13]Ili Ma, Wei Ji Ma, Todd M. Gureckis:
Information sampling for contingency planning. CogSci 2021 - [c12]Peiyuan Zhang, Wei Ji Ma:
Designing a behavioral experiment to study the factors underlying procrastination. CogSci 2021 - 2020
- [j9]Yanli Zhou, Luigi Acerbi, Wei Ji Ma:
The role of sensory uncertainty in simple contour integration. PLoS Comput. Biol. 16(11) (2020) - [j8]Bas van Opheusden, Luigi Acerbi, Wei Ji Ma:
Unbiased and efficient log-likelihood estimation with inverse binomial sampling. PLoS Comput. Biol. 16(12) (2020) - [c11]Jennifer Lee, Wei Ji Ma:
An algorithm for estimating average magnitudes. CogSci 2020 - [c10]Anne Sax, Andrei Cimpian, Wei Ji Ma:
A cognitive computational model of mindsets. CogSci 2020 - [c9]Peiyuan Zhang, Wei Ji Ma:
a process model of procrastination. CogSci 2020 - [i3]Bas van Opheusden, Luigi Acerbi, Wei Ji Ma:
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling. CoRR abs/2001.03985 (2020) - [i2]Wei Ji Ma, Benjamin Peters:
A neural network walks into a lab: towards using deep nets as models for human behavior. CoRR abs/2005.02181 (2020)
2010 – 2019
- 2019
- [j7]Elyse H. Norton, Luigi Acerbi, Wei Ji Ma, Michael S. Landy:
Human online adaptation to changes in prior probability. PLoS Comput. Biol. 15(7) (2019) - [c8]Jennifer Lee, Wei Ji Ma:
Drawing conclusions from spatial coincidences: a cumulative clustering account. CogSci 2019: 3507 - [c7]Xiang Li, Luigi Acerbi, Wei Ji Ma:
Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law. CogSci 2019: 3510 - [c6]Yichen Li, Zahy Bnaya, Wei Ji Ma:
Predicting human decisions in a sequential planning puzzle with a large state space. CogSci 2019: 3512 - 2018
- [j6]Simon Stolarczyk, Manisha Bhardwaj, Kevin E. Bassler, Wei Ji Ma, Kresimir Josic:
Loss of information in feedforward social networks. J. Complex Networks 6(3): 448-469 (2018) - [j5]William T. Adler, Wei Ji Ma:
Limitations of Proposed Signatures of Bayesian Confidence. Neural Comput. 30(12) (2018) - [j4]Luigi Acerbi, Kalpana Dokka, Dora E. Angelaki, Wei Ji Ma:
Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception. PLoS Comput. Biol. 14(7) (2018) - [j3]William T. Adler, Wei Ji Ma:
Comparing Bayesian and non-Bayesian accounts of human confidence reports. PLoS Comput. Biol. 14(11) (2018) - 2017
- [c5]Bas van Opheusden, Gianni Galbiati, Zahy Bnaya, Yunqi Li, Wei Ji Ma:
A computational model for decision tree search. CogSci 2017 - 2016
- [c4]Bas van Opheusden, Zahy Bnaya, Gianni Galbiati, Wei Ji Ma:
Do People Think Like Computers? Computers and Games 2016: 212-224 - [c3]Ronald Van den Berg, Wei Ji Ma:
A normative theory of visual working memory limitations. CogSci 2016 - [i1]Simon Stolarczyk, Manisha Bhardwaj, Kevin E. Bassler, Wei Ji Ma, Kresimir Josic:
Loss of information in feedforward social networks. CoRR abs/1609.09529 (2016) - 2015
- [j2]Manisha Bhardwaj, Samuel Carroll, Wei Ji Ma, Kresimir Josic:
Visual Decisions in the Presence of Measurement and Stimulus Correlations. Neural Comput. 27(11): 2318-2353 (2015) - 2014
- [c2]Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar:
A Framework for Testing Identifiability of Bayesian Models of Perception. NIPS 2014: 1026-1034 - 2013
- [j1]Shaiyan Keshvari, Ronald Van den Berg, Wei Ji Ma:
No Evidence for an Item Limit in Change Detection. PLoS Comput. Biol. 9(2) (2013)
2000 – 2009
- 2007
- [c1]Ulrik R. Beierholm, Konrad P. Körding, Ladan Shams, Wei Ji Ma:
Comparing Bayesian models for multisensory cue combination without mandatory integration. NIPS 2007: 81-88
Coauthor Index
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