An autoassociative neural network model of paired-associate learning

Neural Computation

Volumn 13, Issue 9, 2001, Pages 2075-2092

  Rizzuto, Daniel S ^a   Kahana, Michael J ^a  

^a BRANDEIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LEARNING; MEMORY; NERVE CELL NETWORK; PHYSIOLOGY; PSYCHOLOGICAL MODEL;

ASSOCIATION LEARNING; COMPUTER SIMULATION; HUMANS; MEMORY; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; NERVE NET;

EID: 0035462604     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976601750399317     Document Type: Article

References (44)

1. Amit, D. J., & Brunel, N. (1995). Learning internal representations in an attractor neural network with analogue neurons. Network: Computation in Neural Systems, 6, 359-388.
2. Amit, D. J., & Fusi, S. (1992). Constraints on learning in dynamic synapses. Network: Computation in Neural Systems, 3, 443-464.
3. Anderson, J. A. (1972). A simple neural network generating an interactive memory. Mathematical Biosciences, 14, 197-220.
4. Asch, S. E., & Ebenholtz, S. M. (1962). The principle of associative symmetry. Proceedings of the American Philosophical Society, 106, 135-163.
5. Bishop, Y. M. M., Fienberg, S. E., & Holland, P. W. (1975). Discrete multivariate analysis: Theory and practice. Cambridge, MA: MIT Press.
6. Brown, G. D. A., Dalloz, P., & Hulme, C. (1995). Mathematical and connectionist models of human memory: A comparison. Memory, 3, 113-145.
7. Brunel, N., Carusi, F., & Fusi, S. (1998). Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network: Computation in Neural Systems, 9, 123-152.
8. Buhmann, J., Divko, R., & Schulten, K. (1989). Associative memory with high information content. Physical Review A, 39, 2689-2692.
9. Bunsey, M., & Eichenbaum, H. (1996). Conservation of hippocampal memory function in rats and humans. Nature, 379, 255-257.
10. Carpenter, G., & Grossberg, S. (1993). Normal and amnesic learning, recognition and memory by a neural model of cortico-hippocampal interactions. Trends in Neurosciences, 16, 131-137.
11. Chance, F. S., & Kahana, M. J. (1997). Testing the role of associative interference and compound cues in sequence memory. In J. Bower (Ed.), The neurobiology of computation: Proceedings of the Annual Computational Neuroscience Meeting. Norwell, MA: Kluwer.
12. Ebbinghaus, H. (1885/1913). Memory: A contribution to experimental psychology. New York: Teachers College, Columbia University.
13. Ekstrand, B. R. (1966). Backward associations. Psychological Bulletin, 65, 50-64.
14. Hanse, E., & Gustafsson, B. (1994). Onset and stabilization of NMDA receptor-dependent hippocampal long-term potentiation. Neuroscience Research, 20, 15-25.
15. Hintzman, D., & Hartry, A. L. (1990). Item effects in recognition and fragment completion: Contingency relations vary for different subsets of words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 965-969.
16. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 84, 8429-8433.
17. Howard, M. W., & Kahana, M. J. (1999). Contextual variability and serial position effects in free recall. Journal of Experimental Psychology: Learning, Memory and Cognition, 25, 923-941.
18. Humphreys, M. S., Bain, J. D., & Pike, R. (1989). Different ways to cue a coherent memory system: A theory for episodic, semantic, and procedural tasks. Psychological Review, 96, 208-233.
19. Humphreys, M. S., & Bowyer, P. A. (1980). Sequential testing effects and the relation between recognition and recognition failure. Memory and Cognition, 8, 271-277.
20. Ishizuka, N., Cowan, W. M., & Amaral, D. G. (1995). A quantitative analysis of the dendritic organization of pyramidal cells in the rat hippocampus. Journal of Comparative Neurology, 362, 17-45.
21. Kahana, M. J. (1996). Associative retrieval processes in free recall. Memory and Cognition, 24, 103-109.
22. Kahana, M. J. (1999). Contingency analyses of memory. In E. Tulving (Ed.), Oxford handbook of human memory (pp. 323-384), New York: Oxford Press.
23. Kahana, M. J. (2001). Associative symmetry and memory theory. Submitted.
24. Klahr, D., Chase, W. G., & Lovelace, E. A. (1983). Structure and process in alphabetic retrieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9, 462-477.
25. Köhler, W. (1947). Gestalt psychology. New York: Liveright.
26. Lockhart, R. S. (1969). Retrieval asymmetry in the recall of adjectives and nouns. Journal of Experimental Psychology, 79, 12-17.
27. Metcalfe, J. (1991). Recognition failure and the composite memory trace in CHARM. Psychological Review, 98, 529-553.
28. Metcalfe, J., Cottrell, G. W., & Mencl, W. E. (1993). Cognitive binding: A computational-modeling analysis of a distinction between implicit and explicit memory. Journal of Cognitive Neuroscience, 4, 289-298.
29. Metcalfe Eich, J. (1982). A composite holographic associative recall model. Psychological Review, 89, 627-661.
30. Mitchell, M. (1996). An introduction to genetic algorithms. Cambridge, MA: MIT Press.
31. Murdock, B. B. (1962). Direction of recall in short term memory. Journal of Verbal Learning and Verbal Behavior, 1, 119-124.
32. Murdock, B. B. (1965). Associative symmetry and dichotic presentation. Journal of Verbal Learning and Verbal Behavior, 4, 222-226.
33. Murdock, B. B. (1966). Forward and backward associations in paired associates. Journal of Experimental Psychology, 71, 732-737.
34. Murdock, B. B. (1982). A theory for the storage and retrieval of item and associative information. Psychological Review, 89, 609-626.
35. Murdock, B. B. (1985). Convolution and matrix systems: A reply to Pike. Psychological Review, 92, 130-132.
36. Murdock, B. B. (1989). Learning in a distributed memory model. In C. Izawa (Ed.), Current issues in cognitive processes: The Floweree Symposium on Cognition (p. 69-106). Hillsdale, NJ: Erlbaum.
37. Murdock, B. B. (1993). TODAM2: A model for the storage and retrieval of item, associative, and serial-order information. Psychological Review, 100, 183-203.
38. Murdock, B. B. (1997). Context and mediators in a theory of distributed associative memory (TODAM2). Psychological Review, 104, 839-862.
39. Pike, R. (1984). Comparison of convolution and matrix distributed memory systems for associative recall and recognition. Psychological Review, 91, 281-294.
40. Robinson, E. S. (1932). Association theory today: An essay in systematic psychology. New York: Century Co.
41. Scharroo, J., Leeuwenberg, E., Stalmeier, P. F. M., & Vos, P. G. (1994). Alphabetic search: Comment on Klahr, Chase, and Lovelace (1983). Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 234-244.
42. Treves, A., & Rolls, E. T. (1994). Computational analysis of the role of the hippocampus in memory. Hippocampus, 4, 374-391.
43. Weber, E. U., & Murdock, B. B. (1989). Priming in a distributed memory system: Implications for models of implicit memory. In S. Lewandowsky, J. Dunn, & K. Kirsner (Eds.), Implicit memory: Theoretical issues (pp. 87-89). Hillsdale, NJ: Erlbaum.
44. Wolford, G. (1971). Function of distinct associations for paired-associate performance. Psychological Review, 78, 303-313.