Sequential learning using temporal context

Journal of Mathematical Psychology

Volumn 53, Issue 6, 2009, Pages 474-485

  Shankar, Karthik H ^a   Jagadisan, Udaya K K ^a   Howard, Marc W ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70450270716     PISSN: 00222496     EISSN: 10960880     Source Type: Journal    
DOI: 10.1016/j.jmp.2009.07.005     Document Type: Article

References (23)

1. Bengio Y., Ducharme R., Vincent P., and Jauvin C. A neural probabilistic language model. Journal of Machine Learning Research 3 (2003) 1137-1155
2. Christiansen M.H., and Chater N. Connectionist psycholinguistics: Capturing the empirical data. Trends in Cognitive Science 5 (2001) 82-88
3. Eichenbaum H. A cortical-hippocampal system for declarative memory. Nature Reviews, Neuroscience 1 1 (2000) 41-50
4. Elman J.L. Distributed representations, simple recurrent networks, and grammatical structures. Machine Learning 7 (1991) 195-225
5. Griffiths T.L., Steyvers M., and Tenenbaum J.B. Topics in semantic representation. Review 114 2 (2007) 211-244
6. Harris Z. Methods in structural linguistics (1951), IL University of Chicago Press, Chicago
7. Howard M.W., Fotedar M.S., Datey A.V., and Hasselmo M.E. The temporal context model in spatial navigation and relational learning: Toward a common explanation of medial temporal lobe function across domains. Psychological Review 112 1 (2005) 75-116
8. Howard M.W., Jing B., Rao V.A., Provyn J.P., and Datey A.V. Bridging the gap: Transitive associations between items presented in similar temporal contexts. Journal of Experimental Psychology: Learning, Memory, and Cognition 35 (2009) 391-407
9. Howard M.W., and Kahana M.J. A distributed representation of temporal context. Journal of Mathematical Psychology 46 3 (2002) 269-299
10. Howard M.W., Kahana M.J., and Wingfield A. Aging and contextual binding: Modeling recency and lag-recency effects with the temporal context model. Psychonomic Bulletin & Review 13 (2006) 439-445
11. Howard, M.W., Shankar, K.H., & Jagadisan, U.K.K. Constructing semantic representations from a gradually-changing representation of temporal context. Topics in Cognitive Science (in press)
12. Jones M.N., and Mewhort D.J.K. Representing word meaning and order information composite holographic lexicon. Psychological Review 114 (2007) 1-32
13. Kwantes P.J. Using context to build semantics. Psychonomic Bulletin & Review 12 4 (2005) 703-710
14. Landauer T.K., and Dumais S.T. Solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review 104 (1997) 211-240
15. Lund K., and Burgess C. Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments & Computers 28 2 (1996) 203-208
16. Miller G.A., and Charles W.G. Contextual correlates of semantic similarity. Language and Cognitive Processes 6 (1991) 1-28
17. Mintz T.H. Category induction from distributional cues in an artificial language. Memory and Cognition 30 5 (2002) 678-686
18. Norman K.A., and O'Reilly R.C. Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach. Psychological Review 110 4 (2003) 611-646
19. Plate T.A. Holographic reduced representation: Distributed representation for cognitive structures (2003), CLSI Publications, Stanford, CA
20. Rao V.A., and Howard M.W. Retrieved context and the discovery of semantic structure. In: Platt J., Koller D., Singer Y., and Roweis S. (Eds). Advances in neural information processing systems vol. 20 (2008), MIT Press, Cambridge, MA
21. Sahlgren M., Holst A., and Kanerva P. Permutations as a means to encode order in word space. Proceedings of the 30th annual conference of the cognitive science society (2008), Cognitive Science Society, Austin, TX 1300-1305
22. Sederberg P.B., Howard M.W., and Kahana M.J. A context-based theory of recency and contiguity in free recall. Psychological Review 115 (2008) 893-912
23. Solan Z., Horn D., Ruppin E., and Edelman S. Unsupervised learning of natural languages. Proceedings of the National Academy of Science 102 (2005) 11629-11634