Forthcoming

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

Warmuth, M., Kotlowski, W., Jones, M., & Amid, E. The downside of rotation invariance in neural net training.

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. Differentiating neural sensitivity and bias during face-emotion processing in youth: A computational approach.

Tezzin, A., Wolfe, E., Amaral, B., & Jones, M. Impossibility theorem for extending contextuality to disturbing systems.

Weissman, D. H., Jones, M., Smith, K. A., & Erb, C. D. Conflict adaptation is independent of conflict.

In press

Cheng, Z., Moser, A. D., Jones, M., & Kaiser, R. H. (In press). Reinforcement learning and working memory in mood disorders: A computational analysis in a developmental transdiagnostic sample. Journal of Affective Disorders.

Stoddard, J., Haller, S. P., Costa, V., Brotman, M. A., & Jones, M. (in press). Anxiety and irritability modulate category learning of ambiguous face emotion. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.

Hermann, K., Nayebi, A., van Steenkiste, S., & Jones, M. (in press). For human-like models, train on human-like tasks. Behavior and Brain Sciences (commentary on Bowers et al.).

2023

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).

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.

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 explanatory status and 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 Prisoner�s 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.