Semantic boost on episodic associations: An empirically-based computational model

Cognitive Science

Volumn 31, Issue 4, 2007, Pages 645-671

  Silberman, Yaron ^a   Bentin, Shlomo ^a   Mükkulainen, Risto ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b University of Texas at Austin   (United States)

Author keywords

Episodic memory; Neural networks; Semantic maps; Semantic memory; Word associations

Indexed keywords

EID: 34547964247     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1080/15326900701399921     Document Type: Article

References (60)

1. Bower, G. H. (1961). Application of a model to paired-associate learning. Psychometrika, 26, 255-280.
2. Burgess, C., & Lund, K. (1997). Modeling parsing constraints with high-dimensional context space. Language and Cognitive Processes, 12, 1-34.
3. Charniak, E. (1983). Passing markers: (A) theory of contextual influence in language comprehension. Cognitive Science, 7, 171-190.
4. Chiarello, C., Burgess, C., Richards, L., & Pollock, A. (1990). Semantic and associative priming in the cerebral hemispheres: Some words do, some words don't...sometimes, some places. Brain and Language, 38, 75-104.
5. Choe, Y., & Miikkulainen, R. (1998). Self-organization and segmentation in a laterally connected orientation map of spiking neurons. Neurocomputing, 21, 139-157.
6. Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82, 407-428.
7. Cottrell, G. W., & Small, S. L. (1983). A connectionist scheme for modeling word sense disambiguation. Cognition and Brain Theory, 6, 89-120.
8. Craik, F. I. M., & Lockheart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11, 671-684.
9. Craik, F. I. M., & Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104, 268-294.
10. Dagenbach, D., Horst, S., and Carr, T. H. (1990). Adding new information to semantic memory: How much learning is enough to produce automatic priming? Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 581-591.
11. Epstein, M. L., Phillips, W. D., & Johnson, S. J. (1975). Recall of related and unrelated word pairs as a function of processing level. Journal of Experimental Psychology: Human Learning and Memory, 104(2), 149-152.
12. Farah, M., & McClelland, J. (1991). A computational model of semantic memory impairment: Modality specificity and emergent category specificity. Journal of Experimental Psychology: General, 120, 339-357.
13. Guttentag, R. (1995). Children's associative learning: automatic and deliberate encoding of meaningful associations. American Journal of Psychology, 108(1), 99-114.
14. Hendler, J. A. (1988). Integrating marker passing and problem solving: A spreading activation approach to improved choice in planning. Hillsdale, NJ: Lawrence Erlbaum.
15. Hinton, G. E. (1990). Mapping part-whole hierarchies into connectionist networks. Artificial Intelligence, 46, 47-75.
16. Hinton, G., & Shallice, T. (1991). Lesioning an attractor network: Investigations of acquired dyslexia. Psychological Review, 98, 74-95.
17. Honkela, T., Pulkki, V., & Kohonen, T. (1995). Contextual relation of words in Grimm tales, analyzed by self-organizing map. Proceedings of International Conference on Artificial Neural Networks (pp. 3-7).
18. Knudsen, E. I., Lac, S., & Esterly, S. D. (1987). Computational maps in the brain. Annual Review of Neuroscience, 10, 41-65.
19. Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE (pp. 1464-1478).
20. Kohonen, T., Kaski, S., Lagus, K., Salojrvi, J., Paatero, V., & Saarela A. (2000). Self-organization of a massive document collection. IEEE Transactions on Neural Networks, 11, 574-585.
21. Kohonen, T., Kaski, S., Lagus, K., Salojrvi, J., Paatero, V., & Saarela A. (2000). Self-organization of a massive document collection. IEEE Transactions on Neural Networks, 11, 574-585.
22. Koriat, A. (1981). Semantic facilitation in lexical decision as a function of prime-target association. Memory and Cognition, 9, 587-598.
23. Kutas M, & Hillyard, S. A. (1988). An electrophysiological probe of incidental semantic association. Journal of Cognitive Neuroscience, 1, 38-49.
24. Li, P. (1999). Generalization, representation, and recovery in a self-organizing feature-map model of language acquisition. Proceedings of the 21st Annual Conference of the Cognitive Science Society (pp. 308-313). Mahwah, NJ: Lawrence Erlbaum.
25. Li, P. (2000). The acquisition of tense-aspect morphology in a self-organizing feature map model. Proceedings of the 22nd Annual Conference of the Cognitive Science Society (pp. 304-309). Mahwah, NJ: Lawrence Erlbaum.
26. Li, P., Burgess, C., & Lund, K. (2000). The acquisition of word meaning through global lexical co-occurrences. Proceedings of the 30th Child Language Research Forum (pp. 167-178). Stanford, CA: Center for the Study of Language and Information.
27. Li, P., Farkas, I., & MacWhinney, B. (2004) Early lexical development in a self-organizing neural network. Neural Networks, 17, 1345-1362.
28. Lowe, W. (1997). Semantic representation and priming in a self-organizing lexicon. Proceedings of the 4th Neural Computation and Psychology Workshop (pp. 227-239). Springer-Verlag.
29. Lund, K., Burgess, C., Atchley, R. A. (1995). Semantic and associative priming in high-dimensional semantic space. Proceedings of the 17th Annual Conference of the Cognitive Science Society (pp. 660-665). Mahwah, NJ: Lawrence Erlbaum.
30. Lund, K., Burgess, C., & Audet, C. (1996). Dissociating semantic and associative word relationships using high-dimensional semantic space. Proceedings of the 18th Annual Conference of the Cognitive Science Society (pp. 603-608). Mahwah, NJ: Lawrence Erlbaum.
31. MacWhinney, B. (2000). The CHILDES Project: Tools for Analyzing Talk. Volume 1: Transcription format and programs. Volume 2: The Database. Mahwah, NJ: Lawrence Erlbaum Associates.
32. Masson, M. E. J. (1995). A distributed memory model for semantic priming. Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 3-23.
33. Mayberry, M. R. (2004). Incremental nonmonotonic parsing through semantic self-organization. Doctoral Dissertation, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-TR-04-310.
34. McGuire, W. J. (1961). A multiprocess model for paired-as-asssociate learning. Journal of Experimental Psychology, 62, 335-347.
35. McKoon, G., & Ratcliff, R. (1986). Automatic activation of episodic information in a semantic memory task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 108-115.
36. McRae, K., & Boisvert, S. (1998). Automatic semantic similarity priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24(3), 558-572.
37. Miikkulainen, R. (1992). Trace feature map: A model of episodic associative memory. Biological Cybernetics, 66, 273-282.
38. Miikkulainen, R. (1993). Subsymbolic natural language processing: An integrated model of scripts, lexicon, and memory. Cambridge, MA: MIT Press.
39. Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J. (2005). Computational maps in the visual cortex. New York: Springer.
40. Moss, H. E., Hare, M. L., Day, P., & Tyler, L. K. (1994). A distributed memory model of the associative boost in semantic priming. Connection Science, 6, 413-427.
41. Neely, J. H. (1991). Semantic priming effects in visual word recognition: A selective review of current findings and theories. In D. Besner, & G. W. Humphreys (Eds.), Basic processes in reading: Visual word recognition. Hillsdale, NJ: Lawrence Erlbaum.
42. Neely, J. H., & Durgunoglu, A. (1985). Dissociative episodic and semantic priming effects in episodic recognition and lexical decision tasks. Journal of Memory and Language, 24, 466-489.
43. Plaut, D. C. (1995). Semantic and associative priming in a distributed attractor network. Proceedings of the 17th Annual Conference of the Cognitive Science Society (pp. 37-42). Mahwah, NJ: Lawrence Erlbaum.
44. Plaut, D. C., & Shallice, T. (1993). Deep dyslexia: A case study of connectionist neuropsychology. Cognitive Neuropsychology, 10, 377-500.
45. Prior, A., & Bentin, S. (2003). Incidental formation of episodic associations: The importance of senential context. Memory & Cognition, 31(2), 306-316.
46. Prior, A., & Geffet, M. (2003). Mutual information and semantic similarity as predictors of word association strength: Modulation by association type and semantic relation. Proceedings of the European Cognitive Science Conference 2003 Mahwah, NJ: Lawrence Erlbaum Associates.
47. Quillian, M. R. (1966). Semantic theory. Doctoral Dissertation, Carnegie Institute of Technology.
48. Ritter, H., & Kohonen, T. (1989). Self-organizing semantic maps. Biological Cybernetics, 61, 241-254.
49. Scholtes, J. C. (1991). Unsupervised learning and the information retrieval problem. Proceedings of the IEEE International Joint Conference on Neural Networks (pp. 95-100). Piscataway, NJ: IEEE Service Center.
50. Schrijnemakers, J. M. C., & Raaijmakers, J. G. W. (1997). Adding new word associations to semantic memory: Evidence for two interactive learning components. Acta Psychologica, 96, 103-132.
51. Silberman, Y., Miikkulainen, R., & Bentin S. (2005). Associating unseen events: Semantically mediated formation of episodic associations. Psychological Science, 16, 161-166.
52. Seidenberg, M. S., & McClelland, J. L. (1989). A distributed developmental model of word recognition and naming. Psychological Review, 96, 523-568.
53. Shastri, L., & Ajjanagadde, V. (1993). From simple associations to systematic reasoning: a connectionist representation of rules, variables and dynamic bindings using temporal synchrony. Behavioral and Brain Sciences, 16, 417-494.
54. Shelton, J. R., & Martin, R. C. (1992). How semantic is automatic semantic priming? Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 1191-1210.
55. Smith, M. C., Bentin, S., & Spalek, T. M. (2001). Is spreading of semantic activation truly automatic? The influence of task and response delay. Journal of Experimental Psychology: Learning Memory and Cognition, 27, 1289-1298.
56. Spitzer, M. (1997). A cognitive neuroscience view of schizophrenic thought disorder. Schizophrenia Bulletin, 23, 29-50.
57. Underwood, B. J., & Schultz, R. W. (1960). Response dominance and rate of learning paired associates. Journal of General Psychology, 62, 153-158.
58. von der Malsburg, C. (1986). A neural cocktail-party processor. Biological Cybernetics, 54, 29-40.
59. Waltz, D. L., & Pollack, J. B. (1985). Massively parallel parsing: A strongly interactive model of natural language interpretation. Cognitive Science, 9, 51-74.
60. Wicklund, D. A., Palermo, D. S., & Jenkins, J. J. (1964). The effects of associative strength and response hierarchy on paired-associate learning. Journal of Verbal Learning and Verbal Behavior, 3, 413-420.