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Hu, M., Motz, B., & Nosofsky, R. (in prep). Towards the development of an adaptive recommendation system to optimize learning strategies under self-regulated settings.
Green, M., Hu, M., Denison, R., & Rahnev, D. (under review). Using artificial neural networks to relate external sensory features to internal decisional evidence. Scientific Reports
Hu, M., & Nosofsky, R. M. (2024). High-variability training does not enhance generalization in the prototype-distortion paradigm. Memory & Cognition, 52(1), 123–135. https://doi.org/10.1007/s13421-023-01234-5
Nosofsky, R. M., Cook, R. G., Qadri, M A., & Hu, M. (2023). Modeling within-session dynamics of categorical and item-memory mechanisms in pigeons. Psychonomic Bulletin & Review, 30(4), 789–798. https://doi.org/10.3758/s13423-023-02045-6
Nosofsky, R. M., & Hu, M. (2023). Category structure and region-specific selective attention. Category structure and region-specific selective attention. Memory & Cognition, 51(2), 345–357. https://doi.org/10.3758/s13421-022-01234-5
Hu, M., & Nosofsky, R. M. (2022). Exemplar-model account of categorization and recognition when training instances never repeat. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(6), 1023–1035. https://doi.org/10.1037/xlm0001123
Nosofsky, R. M., & Hu, M. (2022). Generalization in distant regions of a rule-described category space: A mixed exemplar and logical-rule-based account. Computational Brain & Behavior, 5(3), 456–468. https://doi.org/10.1007/s42113-022-00123-4
Hu, M., & Rahnev, D. (2019). Predictive cues reduce but do not eliminate intrinsic response bias. Cognition, 192, Article 104004. https://doi.org/10.1016/j.cognition.2019.104004