1.Semantic memory
Where:University of California, Irvine
Who: Steyvers, M., & Tenenbaum, J.,Griffiths, T
Tags: LSI, LDA, semantic memory, probabilistic model, semantic association
Papers:
…Semantic memory
1.Steyvers, M., & Tenenbaum, J. (2005). The Large Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth. Cognitive Science, 29(1), 41-78
2.Steyvers, M. & Griffiths, T. (in press). Probabilistic topic models. In T. Landauer, D McNamara, S. Dennis, and W. Kintsch (eds), Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum
3.Griffiths, T., & Steyvers, M. (2004). Finding Scientific Topics. Proceedings of the National Academy of Sciences, 101 (suppl. 1), 5228-5235
4.Griffiths, T.L., & Steyvers, M. (2002). Prediction and semantic association. In: Advances in Neural Information Processing Systems, 15
5. Griffiths, T.L., & Steyvers, M. (2002). A probabilistic approach to semantic representation. In: Proceedings of the Twenty-Fourth Annual Conference of Cognitive Science Society. George Mason University, Fairfax, VA
…Memory processes
1.Shiffrin, R.M. & Steyvers, M. (1997). A model for recognition memory: REM: Retrieving Effectively from Memory. Psychonomic Bulletin & Review, 4 (2), 145-166
2. Shiffrin, R. M., & Steyvers, M. (1998). The effectiveness of retrieval from memory. In M. Oaksford & N. Chater (Eds.). Rational models of cognition. (pp. 73-95), Oxford, England: Oxford University Press
3. Steyvers, M. (2000). Modeling semantic and orthographic similarity effects on memory for individual words. Dissertation, Psychology Department, Indiana University. Formatted for 55 pages
4. Wagenmakers, E.J.M., Steyvers, M., Raaijmakers, J.G.W., Shiffrin, R.M., van Rijn, H., & Zeelenberg, R. (2004). A Model for Evidence Accumulation in the Lexical Decision Task. Cognitive Psychology, 48, 332-367
5. Steyvers, M., Wagenmakers, E.J.M., Shiffrin, R.M., Zeelenberg, R., & Raaijmakers, J.G.W. (2001). A Bayesian model for the time-course of lexical processing. In: Proceedings of the Fourth International Conference on Cognitive Modeling. George Mason University, Fairfax, VA
2. Free Association experiment (1973-1998)
Where: University of South Florida, University of Kansas
Who: Nelson, L., McEvoy, K., & Schreiber A.
Tags: free association, data
3. Word associations: Norms for 1,424 Dutch words in a continuous task
Where: University of Leuven, Leuven, Belgium
Who: Simon De Deyne, Gert Storms
Tags: free association, semantic association, experiment
Papers:
1. De Deyne, S. & Storms, G. (2008). Word associations: Norms for 1,424 Dutch words in a continuous task. Behavior Research Methods, 40, 198-205
2. De Deyne, S. & Storms, G. (2008). Word associations: Network and semantic properties. Behavior Research Methods, 40, 213-231
3. Verguts, T., Ameel, E., & Storms, G. (2004). Measures of similarity in models of categorization. Memory & Cognition, 32, 379-389
4. De Deyne, S., Verheyen, S., Ameel, E., Vanpaemel, W., Dry, M., Voorspoels, W., & Storms, G. (2008). Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behavioral Research Methods, 40, 1030-1048
4. Matthiew Zeigenfuse, Michael Lee research @ UCI
Where: University of California, Irvine
Who: Matthiew Zeigenfuse, Michael Lee
Tags: free association, semantic association, stimulus features
Papers:
1. Zeigenfuse, M.D., & Lee, M.D. (in press). Heuristics for choosing features to represent stimuli
2. Zeigenfuse, M.D., & Lee, M.D. (2010). Finding the features that represent stimuli. Acta Psychologica, 133, 283-295
3. Zeigenfuse, M.D., & Lee, M.D. (2008). Finding feature representations of stimuli: Combining feature generation and similarity judgment tasks. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 1825-1830. Austin, TX: Cognitive Science Society