Publications
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. (in press). How Should the Advent of Large Language Models Affect the Practice of Science. Proceedings of the National Academy of Sciences. [ preprint ]
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 ]