A working memory model based on fast Hebbian learning

Network: Computation in Neural Systems

Volumn 14, Issue 4, 2003, Pages 789-802

  Sandberg, A ^a   Tegner J ^b,c   Lansner, A ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b LINKÖPING INSTITUTE OF TECHNOLOGY   (Sweden)

^c STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; EYE MOVEMENT; FAST HEBBIAN SYNAPTIC PLASTICITY; FUNCTIONAL ASSESSMENT; HYPOTHESIS; MATHEMATICAL MODEL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; SIMULATION; SYNAPSE; TASK PERFORMANCE; WORKING MEMORY;

EID: 0345734081     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X_14_4_309     Document Type: Article

References (56)

1. Amari S-I 1977 Dynamics of pattern formation in lateral-inhibition type neural fields Biol. Cybern. 27 77-87
2. Amit D and Brunel N 1997 Dynamics of a recurrent network of spiking neurons before and following learning Network: Comput. Neural Syst. 8 373-404
3. Amit D J 1994 The Hebbian paradigm reintegrated: local reverberations as internal representations Behav. Brain Sci. 18 617-26
4. Bao J-X, Kandel E R and Hawkins R D 1997 Involvement of pre-and postsynaptic mechanisms in posttetaic potentiation at aplysia synapses Science 275 969-70
5. Ben-Yishai R, Bar-Or R L and Sompolinsky H 1995 Theory of orientation tuning in visual cortex Proc. Natl Acad. Sci. USA 92 3844-8
6. Bichot N P and Schall J D 1999 Effects of similarity and history on neural mechanisms of visual selection Nat. Neurosci. 2 549-54
7. Cartling B 1997 Control of computational dynamics of coupled integrate-and-fire neurons Biol. Cybern. 76 383-95
8. Cohen J, Braver T and Brown J 2002 Computational perspectives on dopamine function in prefrontal cortex Curr. Opin. Neurobiol. 12 223-9
9. Compte A, Brunel N, Goldman-Rakic P S and Wang X-J 2000 Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model Cereb. Cortex 10 910-23
10. Doyere V, Burette F, Negro C R-D and Laroche S 1993 Long-term potentiation of hippocampal afferents and efferents to prefrontal cortex: implications for associative learning Neuropsychologia 31 1031-53
11. Durstewitz D, Kelc M and Güntürkün O 1999 A neurocomputational theory of the dopaminergic modulation of working memory functions J. Neurosci. 19 2807-22
12. Durstewitz D, Seamans J K and Sejnowski T J 2000 Neurocomputational models of working memory Nat. Neurosci. 3 1184-91
13. Fransén E and Lansner A 1995 Low spiking rates in a population of mutually exciting pyramidal cells Network: Comput. Neural Syst. 6 271-88
14. Fransén E and Lansner A 1998 A model of cortical associative memory based on a horizontal network of connected columns Network: Comput. Neural Syst. 9 235-64
15. Funahashi S, Bruce C J and Goldman-Rakic P 1989 Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex J. Neurophysiol. 61 331-49
16. Fuster J 1989 The Prefrontal Cortex 2nd edn (New York: Raven)
17. Gaiarsa J-L, Caillard O and Ben-Ari Y 2002 Long-term plasticity at GABAergic and glycinergic synapses: mechanisms and functional significance Trends Neurosci. 25 564-70
18. Goldman-Rakic P 1995 Cellular basis of working memory Neuron 14 477-85
19. Gustafsson B, Asztely F, Hanse E and Wigström H 1989 Onset characteristics of long-term potentiation in the guinea-pig hippocampal ca1 region in vitro Eur. J. Neurosci. 1 382-94
20. Gutkin B S, Laing C R, Colby C L, Chow C C and Ermentrout G B 2001 Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity J. Comput. Neurosci. 11 121-34
21. Hansel D and Sompolinsky H 1996 Chaos and synchrony in a model of a hypercolumn in visual cortex J. Comput. Neurosci. 3 7-34
22. Hempel C M, Hartman K H, Wang X-J, Turrigiano G G and Nelson S B 2000 Multiple forms of short-term plasticity at excitatory synapses in rat medial prefrontal cortex J. Neurophysiol. 83 3031-41
23. Hirsch J and Crepel F 1990 Use-dependent changes in synaptic efficacy in rat prefrontal neurons in vitro J. Physiol. 427 31-49
24. Holst A 1997 The use of a Bayesian neural network model for classification tasks PhD Thesis Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden, Sept. TRITA-NA-P9708
25. Hopfield J 1982 Neural networks and physical systems with emergent collective computational abilities Proc. Natl Acad. Sci. USA 79 2554-8
26. Laing C R and Chow C C 2001 Stationary bumps in networks of spiking neurons Neural Comput. 13 1473-94
27. Laing C R and Chow C C 2002 A spiking neuron model for binocular rivalry J. Comput. Neurosci. 12 39-53
28. Laing C R and Longtin A 2001 Noise-induced stabilization of bumps in systems with long-range spatial coupling Physica D 160 149-72
29. Lansner A and Ekeberg Ö 1989 A one-layer feedback artificial neural network with a Bayesian learning rule Int. J. Neural Syst. 1 77-87
30. Lansner A and Fransén E 1992 Modeling Hebbian cell assemblies comprised of cortical neurons Network: Comput. Neural Syst. 3 105-19
31. Lansner A and Holst A 1996 A higher order Bayesian neural network with spiking units Int. J. Neural Syst. 7 115-28
32. Lashley K 1951 The problem of serial order in behavior Cerebral Mechanisms in Behavior ed L Jeffress (New York: Wiley)
33. McCormick D, Connors B, Lighthall J and Prince D 1985 Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex J. Neurophysiol. 54 782-805
34. Orlov T, Yakovlev V, Amit D, Hochstein S and Zohary E 2002 Serial memory strategies in macaque monkeys: behavioral and theoretical aspects Cereb. Cortex 12 306-17
35. Otani S, Blond O, Desche J-M and Crépel F 1998 Dopamine facilitates long-term depression of glutamatergic transmission in rat prefrontal cortex Neuroscience 85 669-76
36. Pantic L, Torres J, Kappen H and Gielen S C 2002 Associative memory with dynamic synapses Neural Comput. 14 2903-23
37. Perez Y, Morin F and Lacaille J-C 2001 A Hebbian form of long-term potentiation dependent on mGluR1a in hippocampal inhibitory interneurons Proc. Natl Acad. Sci. USA 96 9401-6
38. Ploner C J, Gaymard B, Rivaud S, Agid Y and Pierrot-Deseilligny C 1998 Temporal limits of spatial working memory in humans Eur. J. Neurosci. 10 794-7
39. Romo R, Brody C D, Hernandez A and Lemus L 1999 Neuronal correlates of parametric working memory in the prefrontal cortex Nature 399 470-3
40. Sandberg A 2003 Bayesian attractor neural network models of memory PhD Thesis Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden TRITA-NA-0310, ISBN 91-7265-684-0
41. Sandberg A and Lansner A 2002 Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network Neurocomputing 44-46 615-22
42. Sandberg A, Lansner A and Petersson K 2001 Selective enhancement of recall through plasticity modulation in an autoassociative memory Neurocomputing 38-40 867-73
43. Sandberg A, Lansner A, Petersson K-M and Ekeberg Ö 2002 A Bayesian attractor network with incremental learning Network: Comput. Neural Syst. 13 179-94
44. Seung H 1996 How the brain keeps the eyes still Proc. Natl Acad. Sci. USA 93 13339-44
45. Seung H 1998 Learning continuous attractors in recurrent networks Adv. Neural Inf. Process. Syst. 10 654-60
46. Seung H, Lee D, Reis B and Tank D 2000 Stability of the memory of eye position in a recurrent network of conductance-based model neurons Neuron 26 259-71
47. Tegnér J, Compte A and Wang X 2002 The dynamical stability of reverberatory dynamics Biol Cybern. 87 471-81
48. Torres J J, Pantic L and Kappen H J 2002 Storage capacity of attractor neural networks with depressing synapses Phys. Rev. E 66 061910
49. Undergleider L G, Courtney S M and Haxby J V 1998 A neural system for human visual working memory Proc. Natl Acad. Sci. USA 95 883-90
50. von der Malsburg C 1981 The correlation theory of brain function Technical Report Department of Neurobiology, Max-Planck-Institute for Biophysical Chemistry, Göttingen
51. Reprinted in: Domany E, van Hemmen J L and Schulten K (ed) 1994 Models of Neural Networks vol 2 (Berlin: Springer) chapter 2 pp 95-119
52. Wang X-J 2001 Synaptic reverberation underlying mnemonic persistent memory Trends Neurosci. 24 455-63
53. White J M, Sparks D L and Stanford T R 1994 Saccades to remembered target locations: an analysis of systematic and variable errors Vis. Res. 34 79-92
54. Wickens J and Kötter R 1995 Cellular models of reinforcement Models of Information Processing in the Basal Ganglia ed J C Houk, J L Davis and D G Beiser (Cambridge, MA: MIT Press) pp 187-214
55. Willshaw D, Buneman O and Longuet-Higgins H 1969 Non-holographic associative memory Nature 222 960-2
56. Wu X and Liljenström H 1994 Regulating the nonlinear dynamics of olfactory cortex Network: Comput. Neural Syst. 5 47-60