{"id":467,"date":"2020-07-13T15:29:55","date_gmt":"2020-07-13T15:29:55","guid":{"rendered":"http:\/\/sites.rutgers.edu\/memory-optimization-lab\/?page_id=467"},"modified":"2026-03-20T12:27:39","modified_gmt":"2026-03-20T12:27:39","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/memory-optimization-lab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
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Preprints<\/h4>\n

Cornell, C. A., & Zhang, Q. (preprint). Hierarchical Context Guides Human Memory Search.\u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

Salvatore, N., Wang, H., & Zhang, Q. (preprint). Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs.\u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n

Angne, H., Mishra, M. S., Lin, G., & Zhang, Q. (preprint). Bridging Real-world Summarization and Laboratory-based Memory Recall. \u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n

Li, M., Jensen, K.T., Zhang, Q., Lu, Q., Mattar. M.G. (preprint). A Neural Network Model of Free Recall Learns Multiple Memory Strategies. [ pdf<\/a> ]<\/span><\/span><\/p>\n

2026 and in press<\/h4>\n

Zhang, Q. (in press). Formal Modeling as Theoretical Glue between Laboratory and Naturalistic Studies of Memory. Perspectives on Psychological Science<\/i>.<\/em>\u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n

Huang, J., Manglik, A., Dutra, N., Tarder-Stoll, H., Chamberlain, T., Ajemian, R., Zhang, Q., Norman, A. N., & Baldassano, C. (in press). Binding Items to Contexts Through Conjunctive Neural Representations with the Method of Loci. Nature Communications.<\/em>\u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n

Ma, S.,<\/span>\u00a0Popov, V., & Zhang, Q. (2026). Cognitive Constraints and Reward Environments Jointly Shape Memory Formation. Psychological Review.<\/em> [\u00a0<\/span>pdf<\/a>\u00a0]\u00a0<\/span><\/span><\/p>\n

2025<\/h4>\n

Salvatore, N., & Zhang, Q. (2025). Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search.\u00a0Communications Psychology<\/em>. [ pdf<\/a> ]<\/span><\/span><\/p>\n

Angne, H., Mishra, M. S., Lin, G., & Zhang, Q. (2025). Summarization Reflects Characteristics of Memory Recall. Proceedings of the 47th Annual Conference of the Cognitive Science Society. [ pdf<\/a> ]<\/span><\/span><\/p>\n

Ma, S.,<\/span> & Zhang, Q. (2025). A Metacognitive Model of Memory Encoding Modulated by Rewards. Proceedings of the 47th Annual Conference of the Cognitive Science Society. [ pdf<\/a> ]<\/span><\/span><\/p>\n

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).<\/span> How Should the Advancement of Large Language Models Affect the Practice of Science. Proceedings of the National Academy of Sciences<\/em>.\u00a0[ pdf<\/a> ]<\/span><\/span><\/p>\n

2024<\/h4>\n

Angne, H., Cornell, C. A., & Zhang, Q. (2024). A Context-Based Model of Collaborative Inhibition during Memory Search. Scientific Reports<\/em>. \u00a0[ pdf<\/a>\u00a0]<\/span><\/p>\n<\/div>\n

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<\/em>.\u00a0 <\/span>[ pdf ]<\/a><\/span><\/p>\n

Xu, Z., Hemmer, P., & Zhang, Q. (2024). Towards a Generalized Bayesian Model of Reconstructive Memory. Computational Brain & Behavior<\/em>.\u00a0 [ pdf<\/a> ]<\/span><\/p>\n

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<\/em>.\u00a0[ pdf<\/a>\u00a0]<\/span><\/span><\/p>\n<\/div>\n

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<\/a> ]<\/span><\/span><\/p>\n

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<\/a> ]<\/span><\/span><\/p>\n

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<\/a> ]<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

Devraj A., Griffiths, T.L., &\u00a0Zhang, Q. (2024). Reconciling Categorization and Memory via Environmental Statistics. Psychonomic Bulletin & Review<\/em>. [ pdf ]<\/a><\/span><\/p>\n

2023<\/h4>\n

Cornell, C.A., Norman, K.A., Griffiths, T.L., & Zhang, Q. (2023). Improving Memory Search through Model-Based Cue Selection. Psychological Science<\/em>.\u00a0 \u00a0[ pdf ]<\/a><\/span><\/p>\n

Callaway, F., Griffiths, T.L., & Norman, K.A., & Zhang, Q. (2023). Optimal Metacognitive Control of Memory Recall. Psychological Review.\u00a0<\/em>\u00a0[ pdf ]<\/a><\/span><\/p>\n

Zhang, Q., Griffiths, T.L., & Norman, K.A. (2023). Optimal Policies for Free Recall. Psychological Review.\u00a0<\/em>\u00a0[ pdf ]<\/a><\/span><\/p>\n

2022 and Earlier<\/h4>\n

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 ]<\/a><\/span><\/p>\n

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 ]<\/a><\/span><\/p>\n

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 ]<\/a><\/span><\/p>\n

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<\/em>.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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 ]<\/a><\/span><\/p>\n

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<\/em>. [ pdf ]<\/a>\u00a0 <\/span><\/p>\n

Zhang, Q., Walsh, M.M., & Anderson, J.R. (2018). The Impact of Inserting an Additional Mental Process. Computational Brain & Behavior<\/em>.\u00a0[ pdf ]<\/a>\u00a0<\/span><\/p>\n

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.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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,<\/em> 472-484. [ pdf ]<\/span><\/a><\/p>\n

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),<\/em> 4287-4301.\u00a0[ pdf ]<\/a> \u00a0<\/span><\/p>\n

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),<\/em> 74-86.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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),<\/em> 352-367.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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)<\/em>, 481.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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.\u00a0[ pdf ]<\/a><\/span><\/p>\n

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.\u00a0[ pdf ]<\/a><\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Preprints Cornell, C. A., & Zhang, Q. (preprint). Hierarchical Context Guides Human Memory Search.\u00a0[ pdf ] Salvatore, N., Wang, H., & Zhang, Q. (preprint). 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