Motion detection and prediction through spike-timing dependent plasticity

Network: Computation in Neural Systems

Volumn 15, Issue 3, 2004, Pages 179-198

  Shon, A P ^a   Rao, R P N ^a   Sejnowski, T J ^b,c  

^a University of Washington   (United States)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; FEEDBACK SYSTEM; LEARNING; MATHEMATICAL MODEL; MOVEMENT PERCEPTION; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; PREDICTION; SIMULATION; SPIKE WAVE; VELOCITY; VISUAL CORTEX;

EID: 4444321350     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X_15_3_002     Document Type: Article

References (43)

1. Abbott L F and Blum K I 1996 Functional significance of long-term potentiation for sequence learning and prediction Cereb. Cortex 6 406-16
2. Adelson E H and Bergen J 1985 Spatiotemporal energy models for the perception of motion J. Opt. Soc. Am. A 2 284-99
3. Barlow H and Levick W 1965 The mechanism of directionally selective units in rabbit's retina J. Phsyiol. 178 477-504
4. Bi G and Poo M 1998 Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type J. Neurosci. 18 10464-72
5. Blum K I and Abbott L F 1996 A model of spatial map formation in the hippocampus of the rat Neural Comput. 8 85-93
6. Buchs N and Senn W 2001 Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability Neurocomputing 38-40 121-7
7. Buchs N and Senn W 2002 Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results J. Comput. Neurosci. 13 167-86
8. Chance F, Nelson S and Abbott L 1998 Synaptic depression and the temporal response characteristics of V1 simple cells J. Neurosci. 18 4785-99
9. Dempster A, Laird N and Rubin D 1977 Maximum likelihood from incomplete data via the EM algorithm J. R. Stat. Soc. Ser. B 39 1-38
10. Feidler J C, Saul A B, Murthy A and Humphrey A L 1997 Hebbian learning and the development of direction selectivity: the role of geniculate response timings Network: Comput. Neural Syst. 8 195-214
11. Gerstner W, Kempter R, van Hemmen J L and Wagner H 1996 A neuronal learning rule for sub-millisecond temporal coding Nature 383 76-81
12. Hartley H 1958 Maximum likelihood estimation from incomplete data Biometrics 14 174-94
13. Jancke D, Erlhagen W, Schöner G and Dinse H 2004 Shorter latencies for motion trajectories than for flashes in population responses of cat primary visual cortex J. Physiol. 556 971-82
14. Kempter R, Gerstner W and van Hemmen J L 2001 Intrinsic stabilization of output rates by spike-time dependent Hebbian learning Neural Comput. 13 2709-42
15. Koch C and Poggio T 1985 The synaptic veto mechanism: does it underlie direction and orientation selectivity in the visual cortex? Models of the Visual Cortex ed D Rose and V Dobson (New York: Wiley) pp 408-19
16. Koch C 1999 Biophysics of Computation: Information Processing in Single Neurons (New York: Oxford University Press)
17. Kohonen T 1982 Self-organized formation of topologically correct feature maps Biol. Cybern. 43 59-69
18. Kohonen T 2000 Self-Organizing Maps 3rd edn (Berlin: Springer)
19. Livingstone M 1998 Mechanisms of direction selectivity in macaque V1 Neuron 20 509-26
20. Maex R and Orban G A 1996 Model circuit of spiking neurons generating directional selectivity in simple cells J. Neurophysiol. 75 1515-45
21. Markram H, Lübke J, Frotscher M and Sakmann B 1997 Regulation of synaptic efficacy by coindence of postsynaptic aps and epsps Science 275 213-5
22. Mehta M R, Barnes C A and McNaughton B L 1997 Experience-dependent, asymmetric expansion of hippocampal place fields Proc. Natl Acad. Sci. USA 94 8918-21
23. Mehta M R, Quirk M C and Wilson M A 2000 Experience-dependent, asymmetric shape of hippocampal receptive fields Neuron 25 707-15
24. Mehta M R and Wilson M 2000 From hippocampus to V1: effect of LTP on spatiotemporal dynamics of receptive fields Computational Neuroscience, Trends in Research 1999 ed J Bower (Amsterdam: Elsevier)
25. Minai A A and Levy W 1993 Sequence learning in a single trial Proc. 1993 INNS World Congress on Neural Networks II (New Jersey: Erlbaum) pp 505-8
26. Mineiro P and Zipser D 1998 Analysis of direction selectivity arising from recurrent cortical interactions Neural Comput. 10 353-71
27. Miyashita M, Kim D-S and Tanaka S 1997 Cortical direction selectivity without directional experience Neuroreport 8 1187-91
28. Mo C-H and Koch C 2003 Modeling reverse-phi motion-selective neurons in cortex: double synaptic-veto mechanism Neural Comput. 15 735-59
29. Rao R P N and Ballard D H 1997 Dynamic model of visual recognition predicts neural response properties in the visual cortex Neural Comput. 9 721-63
30. Rao R P N and Ballard D H 1999 Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive field effects Nat. Neurosci. 2 79-87
31. Rao R P N and Sejnowski T J 2000 Predictive sequence learning in recurrent neocortical circuits Advances in Neural Information Processing Systems 12 (Cambridge, MA: MIT Press) pp 164-70
32. Rao R P N and Sejnowski T J 2001 Spike-timing dependent Hebbian plasticity as temporal difference learning Neural Comput. 13 2221-37
33. Rao R P N and Sejnowski T J 2003 Self-organizing neural systems based on predictive learning Phil. Trans. R. Soc. Lond. A 361
34. Senn W and Buchs N 2003 Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis J. Comput. Neurosci. 14 119-38
35. Shapley R M, Reid R C and Soodak R 1992 Spatiotemporal receptive fields and direction selectivity Computational Models of Visual Processing ed M S Landy and J A Movshon (Cambridge, MA: MIT Press) pp 109-18
36. Shon A P and Rao R P N 2003 Learning temporal patterns by redistribution of synaptic efficacy Computational Neuroscience, Trends in Research 2002 vol 52-54C, ed J Bower (Amsterdam: Elsevier) pp 13-8
37. Smith A C, Wu X and Levy W B 2000 Controlling activity fluctuations in large, sparsely connected random networks Neuron: Comput. Neural Syst. 11 63-81
38. Song S, Miller K D and Abbott L F 2000 Competitive Hebbian learning through spike-timing dependent synaptic plasticity Nat. Neurosci. 3 919-26
39. Steele P M and Mauk M D 1999 Inhibitory control of LTP and LTD: stability of synapse strength J. Neurophysiol. 81 1559-66
40. Suarez H, Koch C and Douglas R 1995 Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit J. Neurosci. 15 6700-19
41. Suri R E and Sejnowski T J 2002 Spike propagation synchronized by temporally asymmetric Hebbian learning Biol. Cybern. 87 440-5
42. Wandell B 1995 Foundations of Vision (Sunderland, MA: Sinauer)
43. Wimbauer S, Wenisch O, Miller K and van Hemmen J 1997 Development of spatiotemporal receptive fields of simple cells: I. Model formulation Biol. Cybern. 77 453-61