Publications

Gillespie, N. F., & Cox, G. E. (2024). Natural language processing of auditory perceptual experiences: A Content-analytic approach. Auditory Perception & Cognition, 1–20. [pdf]

Cox, G. E., & Shiffrin, R. M. (2024). Computational models of event memory. In M. J. Kahana & A. Wagner (Eds.), Oxford Handbook of Human Memory. Oxford University Press.  [pdf]

Cox, G. E. (2024). Dynamic retrieval of events and associations from memory: An Integrated account of item and associative recognition. Psychological Review, advance online publication. [pdf]

Logan, G. D., Cox, G. E., Lilburn, S. D., & Ulrich, J. E. (2024). No position-specific interference from prior lists in cued recognition: A challenge for position coding (and other) theories of serial memory. Cognitive Psychology, 149, 101641. [link (open access)]

Kellen, D., Cox, G. E., Donkin, C., Dunn, J. C., & Shiffrin, R. M. (2024). Against naïve induction from experimental data. Behavioral and Brain Sciences, 47, e51. [link]

Cox, G. E., Palmeri, T. J., Schall, J. D., Logan, G. D., & Smith, P. L. (2023). Spiking, salience, and saccades: Using cognitive models to bridge the gap between “how” and “why”. In B. Forstmann & B. Turner (Eds.), Handbook of Model-Based Cognitive Neuroscience, 2nd edition. [pdf]

Logan, G. D., & Cox, G. E. (2023). Serial order depends on item-dependent and item-independent contexts. Psychological Review, 130 (6), 1672-1687. [pdf]

van Doorn, J., Haaf, J.M., Stefan, A.M., Wagenmakers, E.-J., Cox, G. E., . . . Aust, F. (2023). Bayes Factors for mixed models: A Discussion. Computational Brain & Behavior, 6, 140–158. [pdf]

Singmann, H., Kellen, D., Cox, G. E., Chandramouli, S., Davis-Stober, C., Dunn, J. C., . . . Shiffrin, R. M. (2022). Statistics in the service of science: Don’t let the tail wag the dog. Computational Brain & Behavior. [pdf]

Cox, G. E., Palmeri, T. J., Logan, G. D., Smith, P. L., & Schall, J. D. (2022). Salience by competitive and recurrent interactions: Bridging neural spiking and computation in visual attention. Psychological Review, 129 (5), 1144–1182. [pdf]

Logan, G. D., & Cox, G. E. (2021). Serial memory: Putting chains and position codes in context. Psychological Review. 128 (6), 1197–1205. [pdf]

Logan, G. D., Cox, G. E., Annis, J., & Lindsey, D. R. B. (2021). The episodic flanker effect: Memory retrieval as attention turned inward. Psychological Review, 128 (3), 397–445. [pdf]

Newman, P. M., Cox, G. E., & McNamara, T. P. (2021). A computational cognitive model of judgments of relative direction. Cognition, 209, 104559. [pdf]

Cox, G. E., & Criss, A. H. (2020). Similarity leads to correlated processing: A dynamic model of encoding and recognition of episodic associations. Psychological Review, 127 (5), 792–828. [pdf]

Cox, G. E., & Criss, A. H. (2019). Parametric supplements to systems factorial analysis: Identifying interactive parallel processing using systems of accumulators. Journal of Mathematical Psychology, 92, 102247. [pdf]

Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Bröder, A., Cox, G. E., ..., Wilson, J. (2019). Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. Advances in Methods and Practices in Psychological Science. [pdf]

Cox, G. E., & Kalish, M. L. (2019). Dial M̂ for monotonic: A kernel-based Bayesian approach to state-trace analysis. Journal of Mathematical Psychology, 90, 100–117. [pdf]

Cox, G. E., Hemmer, P., Aue, W. R., & Criss, A. H. (2018). Information and processes underlying semantic and episodic memory across tasks, items, and individuals. Journal of Experimental Psychology: General, 147 (4), 545–590. [pdf]

Cox, G. E., & Shiffrin, R. M. (2017). A dynamic approach to recognition memory. Psychological Review, 124 (6), 795–860. [pdf]

Cox, G. E., & Criss, A. H. (2017). Parallel interactive retrieval of item and associative information from event memory. Cognitive Psychology, 97, 31–61. [pdf]

Cox, G. E., & Criss, A. H. (2016). Systems factorial analysis of item and associative retrieval. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.). Proceedings of the 38th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., & Shiffrin, R. M. (2015). A dynamic approach to secondary processes in associative recognition. In D. Noelle et al. (Eds.), Proceedings of the 37th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Nosofsky, R. M., Cao, R., Cox, G. E., & Shiffrin, R. M. (2014). Familiarity and categorization processes in memory search. Cognitive Psychology, 75, 97–129. [pdf]

Cox, G. E., & Shiffrin, R. M. (2014). Linking memory models and decision models: Insights on frequency and speed/accuracy trade-off. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Nosofsky, R. M., Cox, G. E., Cao, R., & Shiffrin, R. M. (2014). An exemplar-familiarity model predicts short-term and long-term probe recognition across diverse forms of memory search. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(6), 1524–1539. [pdf]

Cox, G. E., Lewis, N. J., & Shiffrin, R. M. (2013). On the dynamics of information accumulation in recognition. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., Kachergis, G., & Shiffrin, R. M. (2013). Similarity and strategic effects in recognition memory. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Kachergis, G., Cox, G. E., & Shiffrin, R. M. (2013). The effects of repeated sequential context on recognition memory. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Nokes-Malach, T. J., VanLehn, K., Belenky, D. M., Lichtenstein, M., & Cox, G. E. (2013). Coordinating principles and examples through analogy and self-explanation. European Journal of Psychology of Education, 28(4), 1237–1263. [pdf]

Cox, G. E., Kachergis, G., & Shiffrin, R. M. (2012). Gaussian process regression for trajectory analysis. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., & Shiffrin, R. M. (2012). Exploring decision rules and sampling dynamics in recognition memory. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., & Shiffrin, R. M. (2012). Criterion setting and the dynamics of recognition memory. Topics in Cognitive Science, 4(1), 135–150. [pdf]

Cox, G. E., & Shiffrin, R. M. (2011). Criterion setting and the dynamics of recognition memory. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., Kachergis, G., Recchia, G., & Jones, M. N. (2011). Toward a scalable holographic word-form representation. Behavior Research Methods, 43(3), 602–615. [pdf]

Kachergis, G., Cox, G. E., & Jones, M. N. (2011). OrBEAGLE: Integrating orthography into a holographic model of the lexicon. In Artificial Neural Networks and Machine Learning—ICANN 2011. Berlin Heidelberg: Springer. [pdf]

Cox, G. E. (2010). On the relationship between entropy and meaning in music: An exploration with recurrent neural networks. In S. Ohisson and R. Catrambone (Eds.), Proceedings of the 32nd annual conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]

Cox, G. E., Harbison, J. I., & Davelaar, E. J. (2008). From list learning to semantic knowledge: Search and learning of associative memory. In Proceedings of the 30th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [pdf]