A simple oscillatory short-term memory

AAAI Fall Symposium - Technical Report

Volumn FS-09-01, Issue , 2009, Pages 103-108

  Reggia, James ^a   Sylvester, Jared ^a   Weems, Scott ^a   Bunting, Michael ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL DATA; COGNITIVE ARCHITECTURES; HUMAN SUBJECTS; OSCILLATORY NEURAL NETWORKS; RHYTHMIC ACTIVITY; SHORT TERM MEMORY; SINGLE PARAMETER; TEMPORAL SEQUENCES;

BRAIN;

RECURRENT NEURAL NETWORKS;

EID: 77954224615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (39)

1. Altmann, E., and Gray, W. Forgetting to remember: the functional relationship of decay and interference. Psychological Science. 13 (1), 27-33, 2002. (Pubitemid 41692328)
2. Amit D. Modeling Brain Function. Cambridge University Press, 1989.
3. Baddeley A, Short-Term and Working Memory, in The Oxford Handbook of Memory, E. Tulving and F. Craik (editors), Oxford University Press, 77-92, 2000.
4. Broadbent D. Task combination and selective intake of information, Acta Psychologica, 50, 253-290, 1982.
5. Brown A, Collins S. An oscillatory associative memory analogue architecture, in Oscillations in Neural Systems, D. Levine et al (eds.), Lawrence Erlbaum, 327-341, 2000.
6. Brown J. Some tests of the decay theory of immediate memory. Quarterly J. Exper. Psych.. 10, 12-21, 1958.
7. Bunting, M., Cowan, N., and Saults, J. How does running span work? Journal of Experimental Psychology: Human Perception and Performance. 59 (10), 1691-1700, 2006.
8. Buzsaki G. Rhythms of the Brain, Oxford Univ., 2006.
9. Chakravarthy S, Ghosh J. A complex-valued associative memory for storing patterns as oscillatory states, Biological Cybernetics, 75, 229-238, 1996.
10. Chen K, Wang D. A dynamically coupled neural oscillator network for image segmentation, Neural Networks, 15, 423-439, 2002. (Pubitemid 34518409)
11. Cowan, N. The magical number 4 in short-term memory. Behavioral and Brain Sciences. 24, 87-185, 2001.
12. Cowan, N., Elliot, E., Saults, J., et al. On the capacity of attention. Cognitive Psychology. 51, 2005, 42-100.
13. Deb K. Multi-Objective Optimization, in Multi-Objective Optimization Using Evolutionary Algorithms, K. Deb, John Wiley & Sons, 2001, pp. 13-46.
14. Downing C, Pinker S. The spatial structure of visual attention. In: M. Posner & O. Marin (eds.), Attention and Performance, XI, Erlbaum, 171-188, 1985.
15. Engle R. Working memory capacity as executive attention, Current Directions in Psychological Sci., 11, 19-23, 2002.
16. Eriksen C, St. James J. Visual attention within and around the field of focal attention, Perception and Psychophysics, 40, 225-240, 1986.
17. Frank, M., Loughry, B., and O'Reilly, R. Interactions between frontal cortex and basal ganglia in working memory: a computational model. Cognitive, Affective, and Behavioral Neuroscience. 1, 137-160, 2001.
18. Haarmann, H., and Usher, M. Maintenance of semantic information in capacity-limited short-term memory. Psychonomic Bulletin. 8 (3), 568-578, 2001.
19. Hasselmo M, Bodelon C, Wyble B. Proposed function for hippocampal theta rhythm, Neural Comp, 14, 793-817, 2002.
20. Hayashi Y. Oscillatory neural network and learning of continuously transformed patterns, Neural Networks, 7, 219-231, 1994. (Pubitemid 2068341)
21. Haykin, S. Neural Networks. Prentice Hall, 1999.
22. Hopfield, J. Neural networks and physical systems with collective computational abilities. Proceedings of the National Academy of Science. 79, 2554-2558, 1982.
23. Horn D, Usher M. Parallel activation of memories in an oscillatory neural network. Neural Comp. 3, 31-43, 1991.
24. Ijspeert A. A connectionist central pattern generator for the aquatic and terrestrial gaits of a simulated salamander, Biological Cybernetics, 84, 331-348, 2001. (Pubitemid 33605186)
25. Ingber L. Statistical mechanics of neocortical interactions: Constraints on 40-hz models of short term memory, Physical Review E, 52, 4561-4563, 1995.
26. Kane M, Engle R. The role of prefrontal cortex in working memory capacity, executive attention, and general fluid intelligence, Psychonomic Bulletin Rev., 9, 637-671, 2002.
27. Kimura H, Fukuoka Y, et al. Three-dimensional adaptive dynamic walking of a quadruped, Proc. 2002 IEEE Intl. Conf. Robotics and Automation, 2228-2233, 2002.
28. Koene, R., and Hasselmo, M. First-in-first-out replacement in a model of short-term memory based on persistent spiking, Cerebral Cortex, 17, 1766-1781, 2007. (Pubitemid 47216496)
29. Koene, R., and Hasselmo, M. Consequences of parameter differences in a model of short-term persistent spiking buffers provided by pyramidal cells in entorhinal cortex, Brain Research, 54-67, 2008.
30. Lisman J, Idiart M. Storage of 7 ± 2 short-term memories in oscillatory subcycles, Science, 267, 1512-1516, 1995.
31. Nunez P, Srinivasan R. Electric Fields of the Brain, Oxford University Press, 2006.
32. O'Reilly R., Frank M. Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia. Neural Computation. 18, 283-328, 2006. (Pubitemid 43543839)
33. Pantic, L., Torres, J., Kappen, H., and Gielen, S. Associative memory with dynamic synapses. Neural Computation. 14, 2903-2923, 2002.
34. Pollack, I., Johnson, I., Knaff, P. Running Memory Span. Journal of Experimental Psychology. 57, 137-146, 1959.
35. Raffone A, Wolters G. A cortical mechanism for binding in visual working memory, Journal of Cognitive Neuroscience, 13, 766-785, 2001. (Pubitemid 32802868)
36. Wang D. Emergent Synchrony in locally coupled neural oscillators, IEEE Trans. Neural Netw., 6, 941-947, 1995.
37. Waugh N, Norman D. Primary memory, Psychological Review, 72, 89-104, 1965.
38. Weems S, Winder R, Bunting M, Reggia J. Running Memory Span, Cognitive Systems Res., 10, 2009, 161-171.
39. Winder R, Reggia J, Weems S, Bunting M. An Oscillatory hebbian network Model of Short-Term Memory, Neural Computation, 21, 2009, 741-761.