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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.
Koerner, F. S., Anderson, J. R., Fincham, J. M., & Kass, R. E. (2017). Change-point detection of cognitive states across multiple trials in functional neuroimaging. Statistics in Medicine.
Pyke, A. A., Fincham, J. M., & Anderson, J. R. (2017). When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected? NeuroImage.
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.
Walsh, M. M., Gunzelmann, G., & Anderson, J. R. (2017). Relationship of P3b single-trial latencies and response times in one, two, and three-stimulus oddball tasks. Biological Psychology.
Lee, H. S., Betts, S. & Anderson, J. R. (2017). Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer. The Journal of Experimental Education.
Anderson, J. R., Pyke, A., & Fincham, J. M. (2016). Hidden Stages of Cognition Revealed in Patterns of Brain Activation. Psychological Science.
Tenison, C., Fincham, J.M., & Anderson, J.R. (2016). Phases of Learning: How Skill Acquisition Impacts Cognitive Processing. Cognitive Psychology.
Anderson, J.R., Zhang, Q., Borst, J.P., & Walsh, M.M. (2016). The Discovery of Processing Stages: Extension of Sternberg's Method. Psychological Review.
Lee, H.S., Betts, S. & Anderson,J.R. (2016) Learning Problem-Solving Rules as Search Through a Hypothesis Space. Cognitive Science.
Anderson, J.R., Bothell, D., Fincham, J.M., & Moon, J. (2016). The Sequential Structure of Brain Activation Predicts Skill. Neuropsychologia.
Borst, J.P. & Anderson, J.R. (2015). Using the ACT-R Cognitive Architecture in combination with fMRI data. In B.U. Forstmann, & E.-J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience. Springer: New York.
Tenison, C., & Anderson, J. R. (2015). Modeling the Distinct Phases of Skill Acquisition. Journal of Experimental Psychology: Learning, Memory, and Cognition.
Moon, J., Fincham, J. M., Betts, S. A., & Anderson, J. R.,(2015). End effects and cross-dimensional interference in identification of time and length: Evidence for a common memory mechanism. Cognitive, Affective, & Behavioral Neuroscience.
Borst, J.P., Nijboer, M., Taatgen, N.A., Van Rijn, H., & Anderson, J.R. (2015). Using Data-Driven Model-Brain Mappings to Constrain Formal Models of Cognition. PLoS ONE.
Thomson, R., Lebiere, C., Anderson, J. R., & Staszewski, J. (2015). A General Instance-Based Learning Framework for Studying Intuitive Decision Making in a Cognitive Architecture. Journal of Applied Research in Memory and Cognition; Special Issue on Modeling and Aiding Intuitions in Organizational Decision Making.
Zhang, Q., Anderson, J. R., & Kass, R. E. (2015). Consistency in Brain Activation Predicts Success in Transfer. In Proceedings of the 37th Annual Conference of the Cognitive Science Society. Pasadena, CA: Cognitive Science Society.
Borst, J.P. & Anderson, J.R. (2015). The Discovery of Processing Stages: Analyzing EEG data with Hidden Semi-Markov Models. NeuroImage.
Lee, H. S., Fincham, J. M., & Anderson, J. R. (2015). Learning from examples versus verbal directions in mathematical problem solving. Mind, Brain, and Education.
Anderson, J. R., Lee, H. S., & Fincham, J. M. (2014). Discovering the structure of mathematical problem solving. NeuroImage.
Tenison, C., Fincham, J. M., & Anderson, J. R. (2014). Detecting math problem solving strategies: An investigation into the use of retrospective self-reports, latency and fMRI data. Neuropsychologia.
Anderson, J. R. & Fincham, J. M. (2014). Extending Problem-Solving Procedures. Cognitive Psychology.
Pyke, A., Betts, S., Fincham, J. M., & Anderson, J. R. (2014). Visuospatial referents facilitate the learning and transfer of mathematical operations: Extending the role of the angular gyrus. Cognitive, Affective, & Behavioral Neuroscience.
Lee, H. S., Fincham, J. M., Betts, S. & Anderson, J. R. (2014). An fMRI investigation of instructional guidance in mathematical problem solving. Trends in Neuroscience and Education.
Moon, J., & Anderson, J. R. (2013). Timing in multitasking: Memory contamination and time pressure bias. Cognitive Psychology.
Walsh, M. M., & Anderson, J. R. (2013). Navigating complex decision spaces: Problems and paradigms in sequential choice. Psychological Bulletin.
Anderson, J. R. & Fincham, J. M. (2013). Discovering the sequential structure of thought. Cognitive Science.
Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2013). Can neural imaging be used to investigate learning in an educational task? In J. Stazewski (Ed.) Expertise and skill acquisition: The impact of William G. Chase (pp. 299-324). Taylor and Francis: New York.
Borst, J.P., Schneider, D.W., Walsh, M.M., & Anderson, J.R. (2013). Stages of Processing in Associative Recognition: Evidence from Behavior, Electroencephalography, and Classification. Journal of Cognitive Neuroscience.
Lee, H. S. & Anderson, J. R. (2013). Student learning: What has instruction got to do with it? Annual Review of Psychology.
Borst, J. P., & Anderson, J. R. (2013). Using model-based functional MRI to locate working memory updates and declarative memory retrievals in the fronto-parietal network. Proceedings of the National Academy of Sciences.
Borst, J. & Anderson, J., R, (2013). Discovering Processing Stages by combining EEG with Hidden Markov Models. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Walsh, M. M., & Anderson, J. R. (2013). Electrophysiological responses to feedback during the application of abstract rules. Journal of Cognitive Neuroscience, 25(11), 1986-2002.
Moon, J., Betts, S. A., & Anderson, J. R. (2013). Individual differences and workload effects on strategy adoption in a dynamic task. Acta Psychologica, 144(1), 154-165.
Borst, J.P., Nijboer, M., Taatgen, N.A., & Anderson, J.R. (2013). A Data-Driven Mapping of Five ACT-R Modules on the Brain. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Carleton University.
Lebiere, C., Pirolli, P., Thomson, R., Paik, J., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. (2013). A Functional Model of Sensemaking in a Neurocognitive Architecture. Computational Intelligence and Neuroscience; Special Issue on Neurocognitive Models of Sense Making.
Wintermute, S., Betts, S. A., Ferris, J. L., Fincham, J. M., & Anderson, J. R. (2012). Brain Networks Supporting Execution of Mathematical Skills versus Acquisition of New Mathematical Competence. Public Library of Science (PLOS) ONE.
Moon, J., & Anderson, J. R. (2012). Modeling Millisecond Time Interval Estimation in Space Fortress Game. In Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 767-772). Sapporo, Japan.
Stocco, A., Lebiere, C., O'Reilly, R. C., & Anderson, J. R. (2012). Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks. Cognitive, Affective, & Behavioral Neuroscience.
Borst, J. & Anderson, J., R, (2012). Towards pinpointing the neural correlates of ACT-R: A conjunction of two model-based fMRI analyses. In N. Ruwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.
Anderson, J. R., Fincham, J. M., Schneider, D. W., & Yang, J. (2012). Using brain imaging to track problem-solving in a complex state space. NeuroImage.
Schneider, D. W., & Anderson, J. R. (2012). Modeling fan effects on the time course of associative recognition. Cognitive Psychology.
Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2012). Tracking children's mental states while solving algebra equations. Human Brain Mapping.
Anderson, J. R., Betts, S. A., Ferris, J. L., Fincham, & J. M., Yang, J. (2012). Using Brain Imaging to Track Student Problem solving. IEEE Intelligent Systems.
Anderson, J. R. (2012). Tracking problem solving by multivariate pattern analysis and hidden markov model algorithms. Neuropsychologia.
Walsh, M. M. & Anderson, J. R. (2012). Learning from experience: Event-related potential correlates of reward processing, neural adaptation, and behavioral choice. Neuroscience and Biobehavioral Reviews.
Thomson, R., Lebiere, C., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. R. (2012). Understanding Sensemaking Using Functional Architectures. In T. Jambrowski (Ed.) Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference. Dayton, OH.
Rutledge-Taylor, M., Lebiere, C., Thomson, R., Staszewski, J., & Anderson, J. R. (2012). A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture. In Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference.
Moon, J., Bothell, D., & Anderson, J. R. (2011). Using a Cognitive Model to Provide Instruction for a Dynamic Task. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Boston, MA.
Anderson, J. R., Bothell, D., Fincham, J. M., Anderson, A. R., Poole, B. & Qin, Y. (2011). Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. Journal of Cognitive Neuroscience.
Walsh, M.M., & Anderson, J.R. (2011). Learning from delayed feedback: Neural responses in temporal credit assignment. Cognitive, Affective, and Behavioral Neuroscience.
Walsh, M. M. & Anderson, J. R. (2011) Modulation of the feedback-related negativity by instruction and experience. Proceedings of the National Academy of Science.
Danker, J. F., Fincham, J. M., & Anderson, J. R. (2011). The neural correlates of competition during memory retrieval are modulated by attention to the cues. Neuropsychologia.
Lee, H. S., Betts, S. A. & Anderson, J. R. (2011). How can we design effective instructions to promote transfer? In Proceedings of the annual meetings of the Society for Research on Educational Effectiveness (SREE), September 8-11, 2011, Washington, D.C.
Anderson, J. R.,Betts, S. A., Ferris, J. L., & Fincham, J. M. (2011). Cognitive and metacognitive activity in mathematical problem solving: Prefrontal and parietal patterns. Cognitive, Affective, and Behavioral Neuroscience.
Schneider, D. W., & Anderson, J. R. (2011). A memory-based model of Hick’s law. Cognitive Psychology.
Lee, H. S., Anderson, A., Betts, S., & Anderson, J. R. (2011). When does provision of instruction promote learning? In L. Carlson, C. Hoelscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M (2011). Using Brain imaging to interpret student problem solving. In IEEE Intelligent Systems.
Lebiere, C. & Anderson. J. R. (2011). Cognitive constraints on decision making under uncertainty. Frontiers in Cognition: Psychology.