Publications
Huang, J., Manglik, A., Dutra, N., Tarder-Stoll, H., Chamberlain, T., Ajemian, R., Zhang, Q., Norman, A. N., & Baldassano, C. (preprint). Binding items to contexts through conjunctive neural representations with the Method of Loci. [ pdf ]
Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C.T., Allen, C., Schad, D., Wulff, D., West, J.D., Zhang, Q., Shiffrin, S.M., Gershman, S.J., Popov, V., Bender, E.M., Marelli, M., Botvinick, M.M., Akata, Z., & Schulz, E. (2025). How Should the Advancement of Large Language Models Affect the Practice of Science. Proceedings of the National Academy of Sciences. [ pdf ]
Angne, H., Cornell, C. A., & Zhang, Q. (2024). A Context-Based Model of Collaborative Inhibition during Memory Search. Scientific Reports. [pdf ]
Ma S., Popov, V., & Zhang, Q. (2024). A Neural Index Reflecting the Amount of Cognitive Resources Available during Memory Encoding: A Model-based Approach. Journal of Experimental Psychology: Learning, Memory, and Cognition. [ pdf ]
Xu, Z., Hemmer, P., & Zhang, Q. (2024). Towards a Generalized Bayesian Model of Reconstructive Memory. Computational Brain & Behavior. [pdf ]
Lu, Q., Nguyen, T., Zhang, Q., Hasson, U., Griffiths, T.L., Zacks, J.M., Gershman, S.J., Norman, K.A. (2024). Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes. Scientific Reports. [ pdf ]
Salvatore, N., & Zhang, Q. (2024). Parallels between Neural Machine Translation and Human Memory Search: A Cognitive Modeling Approach. Proceedings of the 46th Annual Conference of the Cognitive Science Society. [ pdf ]
Angne, H., Cornell, C. A., & Zhang, Q. (2024). Why Two Heads Together are Worse Than Apart: A Context-Based Account of Collaborative Inhibition in Memory Search. Proceedings of the 46th Annual Conference of the Cognitive Science Society. [ pdf ]
Cornell, C. A., Jin, S., & Zhang, Q. (2024). The Role of Episodic Memory in Storytelling: Comparing Large Language Models with Humans. Proceedings of the 46th Annual Conference of the Cognitive Science Society. [ pdf ]
Devraj A., Griffiths, T.L., & Zhang, Q. (2024). Reconciling Categorization and Memory via Environmental Statistics. Psychonomic Bulletin & Review. [pdf]
Cornell, C.A., Norman, K.A., Griffiths, T.L., & Zhang, Q. (2023). Improving Memory Search through Model-Based Cue Selection. Psychological Science. [pdf]
Callaway F., Griffiths, T.L., & Norman, K.A., & Zhang, Q. (2023). Optimal Metacognitive Control of Memory Recall. Psychological Review. [ pdf ]
Zhang, Q., Griffiths, T.L., & Norman, K.A. (2022). Optimal Policies for Free Recall. Psychological Review. [ pdf ]
Zhang, Q. (2022). How and Why Does Schematic Knowledge Affect Memory. To appear in Musolino, Hemmer, and Sommer (Eds), The Cognitive Science of Beliefs: A Multidisciplinary Approach, Cambridge University Press. [ pdf ]
Wilson S., Arora S., Zhang, Q., & Griffiths, T.L. (2021). A rational account of anchor effects in hindsight bias. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. [ pdf ]
Devraj A., Zhang, Q., & Griffiths, T.L. (2021). The dynamics of exemplar and prototype representations depend on environmental statistics. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. [ pdf ]
Popov, V., Zhang, Q., Koch, G.E., Calloway, R.C., & Coutanche, M.N. (2019). Semantic knowledge influences whether novel episodic associations are represented symmetrically or asymmetrically. Memory & Cognition. [ pdf ]
Popov, V., Zhang, Q., Koch, G.E., Calloway, R.C., & Coutanche, M.N. (2019). The effect of semantic relatedness on associative asymmetry in memory. Proceedings of the 41st Annual Conference of the Cognitive Science Society. [ pdf ]
Anderson, J.R., Borst , J.P., Fincham, J.M., Ghuman, A.S., Tenison, C., & Zhang, Q. (2018). The Common Time Course of Memory Processes Revealed. Psychological Science. [ pdf ]
Zhang, Q., Walsh, M.M., & Anderson, J.R. (2018). The Impact of Inserting an Additional Mental Process. Computational Brain & Behavior. [ pdf ]
Zhang, Q., Popov, V., Koch, G.E., Calloway, R.C., & Coutanche, M.N. (2018). Fast Memory Integration Facilitated by Schema Consistency. Proceedings of the 40th Annual Conference of the Cognitive Science Society. [ pdf ]
Zhang, Q., van Vugt, M., Borst, J.P., & Anderson, J.R. (2018). Mapping Working Memory Retrieval in Space and in Time: A Combined Electroencephalography and Electrocorticography Approach, NeuroImage, 174, 472-484. [ pdf ]
Zhang, Q., Borst, J.P., Kass, R.E., & Anderson, J.R. (2017). Inter-Subject Alignment of MEG Datasets in a Common Representational Space. Human Brain Mapping, 38(9), 4287-4301. [ pdf ]
Mousavi, M., Koerner, A.S., Zhang, Q., Noh, E., & de Sa, V.R. (2017). Improving Motor Imagery BCI with User Response to Feedback. Brain-Computer Interfaces, 4(1-2), 74-86. [ pdf ]
Zhang, Q., Walsh, M.M., & Anderson, J.R. (2017). The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. Journal of Cognitive Neuroscience, 29(2), 352-367. [ pdf ]
Anderson, J.R., Zhang, Q., Borst, J.,& Walsh, M.M. (2016). The Discovery of Processing Stages: Extension of Sternberg’s Method. Psychological Review, 123(5), 481. [ pdf ]
Zhang, Q., Anderson, J.R., & Kass, R.E. (2015). Consistency in Brain Activation Predicts Success in Transfer. Proceedings of the 37th Annual Conference of the Cognitive Science Society. [ pdf ]
Koerner, A.S., Zhang, Q., & de Sa, V.R. (2013). The effect of real-time positive and negative feedback on motor imagery performance. Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future. [ pdf ]