mcj@colorado.edu
joneslabCU@gmail.com
303-735-1351
Münzinger D0041
Matt Jones CV
Google Scholar

Forthcoming

Please email me for a preprint when only an abstract is posted here.

• Corral, D., Foster, J. M., & Jones, M. The duality of relational concept representation.
• Corral, D., & Jones, M. Representational primacy: The effects of early categorization on rule-contingent learning.
• Galashov, A., Jones, M., Ke, R., Cao, Y., Nagarajan, V., & Mozer, M. C. Catch Your breath: Adaptive computation for self-paced sequence production. arXiv:2510.13879
• Tezzin, A., Wolfe, E., Amaral, B., & Jones, M. Impossibility theorem for extending contextuality to disturbing systems. arXiv:2212.06976

In press

• BDL Consortium (in press). Bayesian Deep Learning. Routledge.

2026

• Weissman, D. H., Jones, M., Smith, K. A., & Erb, C. D. (2026) Conflict adaptation is independent of conflict. Cognitive Psychology, 165, 101800.
• Corral, D., & Jones, M. (2026). Encouraging unitary and compositional representations for relational concept learning. Cognition, 266, 106303.
• Kim, K., Stoddard, J., Khosravi, P., Kircanski, K., Jones, M., Cardenas, S., Pine, D., & Haller, S. (2026). Sensitivity and bias in face-emotion labeling: Replication and extension to youth with irritability and anxiety. Journal of the American Academy of Child and Adolescent Psychiatry, 4, 42-52.
• Chaudhari, R., Goodrum, P., Jones, M., Bhandari, S., Brady, N., Hallowell, M., & Yeh, T. (2026). The impact of perceived design origin attribution (human vs AI) on trust and performance in augmented reality assembly tasks among construction professionals. Frontiers in Built Environment, 12, 1884560.

2025

• Chaudhari, R., Goodrum, P., Brady, N., Jones, M., Hallowell, M., Yeh, T., & Bhandari, S. (2025). Exploring the impact of augmented reality on work performance in a full-scale MEP assembly task: Study of industry and novice populations. Journal of Construction Engineering and Management, 151(12), 16.
• Shaier, S., Pereira, F., von der Wense, K., Hunter, L., & Jones, M. (2025). More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing. International Conference on Learning Representations (ICLR25). arXiv:2410.08003
• Warmuth, M., Kotłowski, W., Jones, M., & Amid, E. (2025). Noise misleads rotation invariant algorithms on sparse targets. Algorithmic Learning Theory (ALT 2025). arXiv:2403.02697
• Chaudhari, R. G., Goodrum, P., Bhandari, S., Hallowell, M., Jones, M., & Yeh, T. (2025). How does augmented reality head-mounted display impact the ability to detect changes while performing piping assembly? International Journal of Industrial Ergonomics, 107, 103751.
• Lopez, J., Bhandari, S., Perry, S., Ayer, S. K., Hallowell, M. R., & Jones, M. (2025). Analyzing the impact of virtual reality and haptic feedback on the safety skills of construction workers. Journal of Construction Engineering and Management, 151(8), 04025110.

2024

• Jones, M., Chang, P. G., & Murphy, K. P. (2024). Bayesian online natural gradient. Advances in Neural Information Processing (NeurIPS24), arXiv:2405.19681
• Jones, M. (2024). On principles and representations for extended contextuality. arXiv:2410.05723
• Yang, Y., Jones, M., Mozer, M. C., & Ren, M. (2024). Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training. Advances in Neural Information Processing (NeurIPS24), arXiv:2403.09613
• Ansanelli, M. M., Centeno, D., Wolfe, E., Jones, M., & Pusey, M. F. (2024). Causal criterion for multivariate correlation under postselection. Causal Inference Workshop, Uncertainty in Artificial Intelligence (UAI24).
• Haller, S. P., Stoddard, J. S., Cardenas, S. I., Dombek, K., MacGillivray, C., Zapp, C., Bui, H., Stavish, C. M., Kircanski, K., Jones, M., & Brotman, M. A. (2024). Differentiating neural sensitivity and bias during face-emotion processing in youth: A computational approach. Social Cognitive and Affective Neuroscience, 19, nsae034.
• Durán-Martín, G., Altamirano, M., Shestopaloff, A., Sánchez-Betancourt, L., Knoblauch, J., Jones, M., Briol, F-X., Murphy, K. P. (2024). Outlier-robust Kalman filtering through generalised Bayes. International Conference on Machine Learning (ICML24). arXiv:2405.05646
• Cheng, Z., Moser, A. D., Jones, M., & Kaiser, R. H. (2024). Reinforcement learning and working memory in mood disorders: A computational analysis in a developmental transdiagnostic sample. Journal of Affective Disorders, 344, 423-431.

2023

• Stoddard, J., Haller, S. P., Costa, V., Brotman, M. A., & Jones, M. (2023). A computational model reveals learning dynamics during interpretation bias training with clinical applications. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8, 1033-1040.
• Chang, P., Durán-Martín, G., Shestopaloff, A., Jones, M., Murphy, K. P. (2023). Low-rank extended Kalman filtering for online learning of neural networks from streaming data. Conference on Lifelong Learning Agents (CoLLAs). arXiv:2305.19535
• Botvinik-Nezer, R., Jones, M., & Wager, T. D. (2023). Fraud beliefs following the 2020 U.S. Presidential election: A belief systems analysis. Nature Human Behavior, 7, 1106-1119.
• Hermann, K., Nayebi, A., van Steenkiste, S., & Jones, M. (2023). For human-like models, train on human-like tasks. Behavior and Brain Sciences, 46, 35-37 (commentary on Bowers et al.).
• Mayo, D., Scott, T. R., Ren, M., Elsayed, G. F., Hermann, K., Jones, M., & Mozer, M. C. (2023). Multitask learning via interleaving: A neural network investigation. Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 655-662.
• Jones, M., Scott, T. R., Ren, M., Elsayed, G. F., Hermann, K., Mayo, D., & Mozer, M. C. (2023). Learning in temporally structured environments. International Conference on Learning Representations (ICLR23).
• Paskewitz, S., & Jones, M. (2023). A statistical foundation for derived attention. Journal of Mathematical Psychology, 112, 102728.

2022

• Chang, P. G., Jones, M., & Murphy, K. (2022). On diagonal approximations to the extended Kalman filter for online training of Bayesian neural networks. Continual Lifelong Learning Workshop, Asian Conference on Machine Learning (ACML22).
• Jones, M. (2022). Learning at multiple timescales. MemARI Workshop, NeurIPS22. [video] [poster]
• Jones, M., Scott, T. R., Elsayed, G. F., Ren, M., Hermann, K., Mayo, D., & Mozer, M. C. (2022). Neural network online training with sensitivity to multiscale temporal structure. MemARI Workshop, NeurIPS22. [video] [poster]
• Paskewitz, S., Stoddard, J., & Jones, M. (2022). Explaining the return of fear with revised Rescorla-Wagner models. Computational Psychiatry, 6, 213-237.
• Naim, R., Haller, S. P., Linke, J., Jaffe, A., Stoddard, J., Jones, M., Harrewijn, A., Kircanski, K., Bar-Haim, Y., & Brotman, M. A. (2022). Context-dependent amygdala-prefrontal connectivity during the dot-probe task varies by irritability and attention bias to angry faces. Neuropsychopharmacology.
• Corral, D., Healy, A., & Jones, M. The effects of testing the relationships among relational concepts. Cognitive Research: Principles and Implications, 7, 47.
• Bobadilla-Suarez, S., Jones, M., & Love, B. C. (2022). Robust priors for regularized regression. Cognitive Psychology, 132, 101444.
• Border, R., O'Rourke, S., de Candia, T., Goddard, M. E., Visscher, P. M., Yengo, L., Jones, M., & Keller, M. C. (2022). Assortative mating biases marker-based heritability estimators. Nature Communications, 13, 660.

2021

• Haller, S. P., Stoddard, J., Pagliaccio, D., Bui, H., MacGillivray, C., Jones, M., & Brotman, M. A. (2021). Computational modeling of attentional impairments in disruptive mood dysregulation and attention deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 60, 637-645.
• Hallowell, M., Quashne, M., Salas, R., Jones, M., MacLean, B., & Quinn, E. (2021). The statistical invalidity of TRIR as a measure of safety performance. Professional Safety, 66(4), 28-35.

2020

• Lohse, K. R., Miller, M. W., Daou, M., Valerius, W., & Jones, M. (2020). Dissociating the contributions of reward-prediction errors to trial-level adaptation and long-term learning. Biological Psychology, 149, 107775.
• Paskewitz, S., & Jones, M. (2020). Dissecting EXIT. Journal of Mathematical Psychology, 97, 102371.
• Weissman, D. H., Grant, L. D., & Jones, M. (2020). The congruency sequence effect indexes response-general control. Journal of Experimental Psychology: Human Perception & Performance, 46, 1387-1396.

2019

• Corral, D., Healy, A. F., Rozbruch, E. V., & Jones, M. (2019). Building a testing-based training paradigm from cognitive psychology principles. Scholarship of Teaching and Learning in Psychology, 5, 189-208.
• Fairley, K., Parelman, J. M., Jones, M., & Carter, R. M. (2019). Risky health choices and the balloon economic risk protocol. Journal of Economic Psychology, 73, 15-33.
• Jones, M. (2019). Relating causal and probabilistic approaches to contextuality. Philosophical Transactions of the Royal Society A, 377, 20190133.
• Meder, B., Nelson, J. D., Jones, M., & Ruggeri, A. (2019). Stepwise versus globally optimal search in children and adults. Cognition, 191, 103965.
• Stoddard, J., & Jones, M. (2019). Computational modeling in pediatric mental health. Journal of the American Academy of Child and Adolescent Psychiatry, 58, 471-473.
• Young, A. P., Healy, A. F., Jones, M., & Bourne, L. E. (2019). Verbal and spatial acquisition as a function of distributed practice and code-specific interference. Memory & Cognition, 47, 779-791.

2018

• Corral, D., Kurtz, K. J., & Jones, M. (2018). Learning relational concepts from within- vs. between-category comparisons. Journal of Experimental Psychology: General, 147(11), 1571-1596.
• Evans, L. M., Tahmasbi, R., Jones, M., Vrieze, S. I., Abecasis, G. R., Das, S., Bjelland, D. W., deCandia, T. R., Haplotype Reference Consortium, Yang, J., Goddard, M. E., Visscher, P. E., & Keller, M. C. (2018). Narrow-sense heritability estimation of complex traits using identity-by-descent information. Heredity, 121, 616-630.
• Jepma, M., Koban, L., van Doorn, J., Jones, M., & Wager, T. D. (2018). Self-reinforcing expectancy effects on pain: Behavioral and brain mechanisms. Nature Human Behaviour, 2, 838-855.
• Jones, M. (2018). The diffusion model of speeded choice, from a rational perspective. In W. Batchelder et al. (Eds.), New Handbook of Mathematical Psychology, Vol. 2 (pp. 71-103). Cambridge University Press.
• Nelson, J. D., Meder, B., & Jones, M. (2018). Towards a theory of heuristic and optimal planning for sequential information search. psyarxiv:bxdf4
• Parpart, P., Jones, M., & Love, B. C. (2018). Heuristics as Bayesian inference under extreme priors. Cognitive Psychology, 102, 127-144. (Model code and datasets: https://osf.io/pb9yt/)

2017

• Bjelland, D. W., Lingala, U., Patel, P. S., Jones, M., & Keller, M. C. (2017). A fast and accurate method for detection of IBD shared haplotypes in genome-wide SNP data. European Journal of Human Genetics, 25, 617-624.
• Corral, D., & Jones, M. (2017). Learning relational concepts through unitary versus compositional representations. Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 1830-1835.
• Foster, J. M., & Jones, M. (2017). Reinforcement learning with analogical similarity to guide schema induction and attention. arXiv:1712.10070
• Healy, A., Jones, M., Lalchandani, L. A., & Tack, L. A. (2017). Timing of quizzes during learning: Effects on motivation and retention. Journal of Experimental Psychology: Applied, 23, 128-137.

2016

• Dzhafarov, E. D., Kujala, J. V., Cervantes, V. H., Zhang, R., & Jones, M. (2016). On contextuality in behavioral data. Philosophical Transactions of the Royal Society A, 374, 20150234.
• Jones, M. (2016). Flexibility of evidence-accumulation models under additional proposed constraints. psyarxiv:gja3u

2015

• Pauli, W. M., & Jones, M. (2015). Changepoint detection versus reinforcement learning: Separable neural substrates approximate different forms of Bayesian inference. biorxiv:591818

2014

• Corral, D., & Jones, M. (2014). The effects of higher-order structure on relational learning. Cognition, 132, 280-300.
• Jepma, M., Jones, M., & Wager, T. (2014). The dynamics of pain: Evidence for simultaneous peripheral habituation and central sensitization in thermal pain. Journal of Pain, 15, 734-746.
• Jones, M., & Dzhafarov, E. N. (2014). Unfalsifiability and mutual translatability of major modeling schemes for choice reaction time. Psychological Review, 121, 1-32.
• Jones, M., & Dzhafarov, E. (2014) Analyzability, ad-hoc restrictions, and excessive flexibility of evidence-accumulation models: Reply to two critical commentaries. Psychological Review, 121, 689-695.
• Lohse, K. R., Jones, M., Healy, A. F., & Sherwood, D. E. (2014). The role of attention in motor control. Journal of Experimental Psychology: General, 143, 930-948.

2013

• Foster, J. M., & Jones, M. (2013). Analogical reinforcement learning. Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 448-453.
• Jones, M., Curran, T., Mozer, M. C., & Wilder, M. H. (2013). Sequential effects in response time reveal learning mechanisms and event representations. Psychological Review, 120, 628-666.
• Jones, M., & Goldstone, R. L. (2013). The structure of integral dimensions: Contrasting topological and Cartesian representations. Journal of Experimental Psychology: Human Perception & Performance, 39, 111-132.
• Jones, M., Shiffrin, R. M., Tenenbaum, J. B., Yuille, A. L., Zhang, J., Mozer, M. C., Love, B. C., Zhu, X., Griffiths, T. L., Kemp, C., LeCun, Y., Lu, H., McAllester, D. A., Salakhutdinov, R., Schölkopf, B., Singh, S., Thomas, R. D., & Yu, A. J. (2013). Report from the NSF Workshop on Integrating Approaches to Computational Cognition.
• Wilder, M. H., Jones, M., Ahmed, A., Curran, T., & Mozer, M. C. (2013). The persistent impact of incidental experience. Psychonomic Bulletin & Review, 20, 1221-1231.

2012

• Corral, D., & Jones, M. (2012). Learning of relational categories as a function of higher-order structure. Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 1434-1439.
• Foster, J. M., Cañas, F., & Jones, M. (2012). Learning conceptual hierarchies by iterated relational consolidation. Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 324-329.
• Jones, M., Bourne, L. E., & Healy, A. F. (2012). A unified framework for performance-shaping functions in complex tasks. In Healy, A. F., & Bourne, L. E. (Eds.), Training cognition: Optimizing efficiency, durability, and generalizability (pp. 247-266). Psychology Press.
• Love, B. C., & Jones, M. (2012). Bayesian learning. In N. Seel (Ed.), Encyclopedia of the Sciences of Learning. Springer.

2011

• Jones, M., & Love, B.C. (2011). Bayesian Fundamentalism or Enlightenment? On the theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34, 169-188.
• Jones, M., & Love, B.C. (2011). Pinning down the theoretical commitments of Bayesian models of cognition (response to commentaries). Behavioral and Brain Sciences, 34, 215-231.

2010

• Cañas, F., & Jones, M. (2010). Attention and reinforcement learning: Constructing representations from indirect feedback. Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, 1264-1269.
• Jones, M., & Cañas, F. (2010). Integrating reinforcement learning with models of representation learning. Proceedings of the 32nd Annual Meeting of the Cognitive Science Society, 1258-1263.
• Mozer, M. C., Pashler, H., Wilder, M., Lindsey, R., Jones, M., & Jones, M. N. (2010). Decontaminating human judgments to remove sequential dependencies. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, & A. Culota (Eds.), Advances in Neural Information Processing Systems 23 (pp. 1705-1713). La Jolla, CA: NIPS Foundation.

2009

• Jones, M. (2009). A reinforcement-and-generalization model of sequential effects in identification learning. Proceedings of the 31st Annual Meeting of the Cognitive Science Society, 1180-1185.
• Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2009). Learning to predict information needs: Context-aware display as a cognitive aid and an assessment tool. Proceedings of The ACM SIGCHI Conf. on Human Factors in Computing Systems (CHI 2009), 1351-1360.
• Wilder, M.H., Jones, M., & Mozer, M.C. (2009). Sequential effects reflect parallel learning of multiple environmental regularities. Advances in Neural Information Processing Systems, 22, 2053-2061.

2008

• Jones, M., Mozer, M.C., & Kinoshita, S. (2008). Optimal response initiation: Why recent experience matters. Advances in Neural Information Processing Systems, 21, 785-792. (Supplementary Material)
• Love, B. C., Jones, M., Tomlinson, M.T., & Howe, M. (2008). Predicting information needs: Adaptive display in dynamic environments. Proceedings of the 30th Annual Meeting of the Cognitive Science Society, 875-880.
• Sakamoto, Y., Jones, M., & Love, B.C. (2008). Putting the psychology back into psychological models: Mechanistic vs. rational approaches. Memory & Cognition, 36, 1057-1065.

2007

• Jones, M., & Love, B. C. (2007). Beyond common features: The role of roles in determining similarity. Cognitive Psychology, 55, 196-231.
• Mueller, S. T., Jones, M., Minnery, B. S., & Hiland, J. M. H. (2007). The BICA Cognitive Decathlon: A test suite for biologically-inspired cognitive agents. Behavior Representation in Modeling and Simulation (BRIMS) Conference.

2006

• Jones, M., Love, B. C., & Maddox, W. T. (2006). Recency effects as a window to generalization: Separating decisional and perceptual sequential effects in category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 316-332.
• Jones, M., Maddox, W. T., & Love, B. C. (2006). The role of similarity in generalization. Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 405-410.
• Love, B.C., & Jones, M. (2006). The emergence of multiple learning systems. Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 507-512.
• Sakamoto, Y., Love, B. C., & Jones, M. (2006). Tracking variability in learning: contrasting statistical and similarity-based accounts. Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 2093-2098.

2005

• Jones, M., Maddox, W. T., & Love, B. C. (2005). Stimulus generalization in category learning. Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 1066-1071.

2004

Jones, M. & Zhang, J. (2004). Rationality and bounded information in repeated games, with application to the iterated Prisonerís Dilemma. Journal of Mathematical Psychology, 48, 334-354.

2003

• Jones, M., Zhang, J., & Simpson, G. (2003). Aggregation of utility and social choice: A topological framework. Journal of Mathematical Psychology, 47, 545-556.
• Jones, M. & Sieck, W. R. (2003). Learning myopia: An adaptive recency effect in category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 626-640.
• Jones, M. & Zhang, J. (2003). Which is to blame: rationality, or common knowledge of rationality? Behavioral and Brain Sciences, 26, 166-167. (Commentary on target article by A.M. Colman)

2002

• Jones, M. & Polk, T. A. (2002). An attractor network model of serial recall. Cognitive Systems Research, 3, 45-55.
• Jones, M. & Polk, T. A. (2002). Recurrent networks as models of short term memory. Proceedings of the 6th Joint Conference on Information Sciences, 557-560.

2001

• Jones, M. & Polk, T. A. (2001). An attractor network model of serial recall. Proceedings of the 4th International Conference on Cognitive Modeling, 121-126.
• Jones, M. & Scharlemann, M. (2001). How a strongly irreducible Heegaard splitting intersects a handlebody. Topology and its Applications 110, 289-301.