The role of spiking nonlinearity in contrast gain control and information transmission

Vision Research

Volumn 45, Issue 5, 2005, Pages 583-592

  Yu, Yuguo ^a,b   Potetz, Brian ^a   Lee, Tai Sing ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Contrast gain control; Gain tuning; Information transmission; Static nonlinearity

Indexed keywords

ARTICLE; BRAIN FUNCTION; MATHEMATICAL ANALYSIS; NERVE CELL; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; STATISTICS; VISUAL ADAPTATION; VISUAL INFORMATION;

CONTRAST SENSITIVITY; HUMANS; MATHEMATICS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; SYNAPTIC TRANSMISSION;

EID: 11144340329     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2004.09.024     Document Type: Article

References (54)

1. L.F. Abbott, J.A. Varela, K. Sen, and S.B. Nelson Synaptic depression and cortical gain control Science 275 1997 220 223
2. B.A.Y. Arcas, and A.L. Fairhall What causes a neuron to spike? Neural Computation 15 2003 1789 1807
3. J.J. Atick, and A.N. Redlich What does the retina know about natural scenes? Neural Computation 4 1992 196 210
4. H.B. Barlow, R. Fitzhugh, and S.W. Kuffler Change of organization in the receptive fields of the cat's retina during dark adaptation Journal of Physiology 137 1957 338 354
5. A.J. Bell, and T.J. Sejnowski An information-maximisation approach to blind separation and blind deconvolution Neural Computation 7 1995 1129 1159
6. E.A. Benardete, and E. Kaplan The dynamics of primate M retinal ganglion cells Visual Neuroscience 16 1999 355 368
7. J.S. Bendat Nonlinear system analysis and identification from random data 1990 John Wiley and Sons New York
8. N. Brenner, O. Agam, W. Bialek, and R. de Ruytervan Steveninck Adaptive rescaling maximizes information transmission Neuron 26 2000 695 702
9. S.P. Brown, and R.H. Masland Spatial scale and cellular substrate of contrast adaptation by retinal ganglion cells Nature Neuroscice 4 2001 44 51
10. M. Carandini, D.J. Heeger, and J.A. Movshon Linearity and normalization in simple cells of the macaque primary visual cortex Journal of Neuroscience 17 1997 8621 8644
11. M. Carandini, D.J. Heeger, and J.A. Movshon Linearity and gain control in V1 simple cells P.S. Ulinski E.G. Jones A. Peters Cerebral cortex, Vol. 13: Models of cortical function 1999 Plenum New York
12. M. Carandini, D.J. Heeger, and W. Senn A synaptic explanation of suppression in visual cortex Journal of Neuroscience 22 2002 10053 10065
13. F.S. Chance, L.F. Abbott, and A.D. Reyes Gain modulation from background synaptic input Neuron 35 2002 773 782
14. F.S. Chance, S.B. Nelson, and L.F. Abbott Synaptic depression and the temporal response characteristics of V1 cells Journal of Neuroscience 18 1998 4785 4799
15. D. Chander, and E.J. Chichilnisky Adaptation to temporal contrast in primate and salamander retina Journal of Neuroscience 21 2001 9904 9916
16. P. Dayan, and L.F. Abbott Theoretical neuroscience (p. 129) 2001 MIT Press Cambridge
17. J.B. Demb Multiple mechanisms for contrast adaptation in the retina Neuron 36 2002 781 783
18. A.L. Fairhall, G.D. Lewen, W. Bialek, and R. de Ruyter van Steveninck Efficiency and ambiguity in an adaptive neural code Nature 412 2001 787 792
19. L. Gammaitoni, P. Hanggi, P. Jung, and F. Marchesoni Stochastic resonance Review of Modern Physics 70 1998 223 287
20. W.S. Geisler, and D.G. Albrecht Cortical neurons: isolation of contrast gain control Vision Research 8 1992 1409 1410
21. D.J. Heeger Normalization of cell responses in cat striate cortex Visual Neuroscience 9 1992 181 197
22. G.R. Holt, and C. Koch Shunting inhibition does not have a divisive effect on firing rates Neural Computation 9 1997 1001 1013
23. G. Hu, T. Ditzinger, C. Ning, and H. Haken Stochastic resonance without external periodic force Physical Review Letters 71 1993 807 810
24. K.J. Kim, and F. Rieke Temporal contrast adaptation in the input and output signals of salamander retinal ganglion cells Journal of Neuroscience 21 2001 287 299
25. A. Kohn, and J.A. Movshon Neuronal adaptation to visual motion in area MT of the macaque Neuron 39 2003 681 691
26. M.J. Korenberg Identifying nonlinear difference equation and functional expansion representations: the fast orthogonal algorithm Annals of Biomedical Engineering 16 1988 123 142
27. Y.W. Lee, and M. Schetzen Measurement of the Wiener kernels of a non-linear system by cross correlation International Journal of Control 2 1965 237 254
28. V.Z. Marmarelis Identification of nonlinear biological systems using Laguerre expansions of kernels Annals of Biomedical Engineering 21 1993 573 589
29. M. Meister, and M.J. Berry The neural code of the retina Neuron 22 1999 435 450
30. B.K. Murphy, and K.D. Miller Multiplicative gain changes are induced by excitation or inhibition alone Journal of Neuroscience 23 2003 10040 10051
31. I. Ohzawa, G. Sclar, and R.D. Freeman Contrast gain control in the cat visual cortex Nature 298 1982 266 268
32. I. Ohzawa, G. Sclar, and R.D. Freeman Contrast gain control in the cat's visual system Journal of Neurophysiology 54 1985 651 667
33. L. Paninski Convergence properties of three spike-triggered analysis techniques Network: Computational Neural Systems 14 2003 437 464
34. J.W. Pillow, and E.P. Simoncelli Biases in white noise analysis due to non-Poisson spike generation Neurocompting 52 4 2003 109 115
35. A.S. Pikovsky, and J. Kurths Coherence resonance in a noise-driven excitable system Physical Review Letters 78 1997 775 778
36. N.J. Priebe, and D. Ferster A new mechanism for neuronal gain control Neuron 35 2002 602 604
37. S.A. Prescott, and Y. De Koninck Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation Proceedings of the National Academy of Sciences, USA 100 2003 2076 2081
38. N.C. Rust, S.R. Schultz, and J.A. Movshon A reciprocal relationship between reliability and responsiveness in developing visual cortical neurons Journal of Neuroscience 22 2002 10519 10523
39. H.M. Sakai, and K.-I. Naka Response dynamics and receptive-field organization of catfish ganglin cells Journal of General Physiology 105 1995 815 835
40. E. Salinas, and P. Thier Gain modulation: a major computational principle of the central nervous system Neuron 27 2000 15 21
41. M.V. Sanchez-Vives, L.G. Nowak, and D.A. McCormick Cellular mechanisms of long lasting adaptation in visual cortical neurons in vitro Journal of Neuroscience 20 2000 4286 4299
42. G. Scarano Cumulant series expansion of hybrid nonlinear moments of complex random-variables IEEE Transactions on Signal Processing 39 1991 1001 1004
43. O. Schwartz, E.J. Chichilnisky, and E.P. Simoncelli Characterizing neural gain control using spike-triggered covariance Advance in Neural Information Processing Systems 14 2002 269 276
44. O. Schwartz, and E.P. Simoncelli Natural signal statistics and sensory gain control Nature Neuroscience 4 2001 819 825
45. C.E. Shannon, and W. Weaver The Mathematical Theory of Communication 1949 University of Illinois Press Urbana, IL
46. R.M. Shapley, and J.D. Victor The effect of contrast on the transfer properties of cat retinal ganglion cells Journal of Physiology 285 1978 275 298
47. R.M. Shapley, and J.D. Victor The contrast gain control of the cat retina Vision Research 19 1979 431 434
48. R.M. Shapley, and J.D. Victor The effect of contrast on the response of the Y cells Journal of Physiology 302 1980 535 547
49. R. Shapley, and C. Enroth-Cugell Visual adaptation and retinal gain control Progress in Retinal Research 3 1984 263 346
50. S.M. Smirnakis, M.J. Berry, D.K. Warland, W. Bialek, and M. Meister Adaptation of retinal processing to image contrast and spatial scale Nature 386 1997 69 73
51. A.M. Truchard, I. Ohzawa, and R.D. Freeman Contrast gain control in the visual cortex: monocular versus binocular mechanisms Journal of Neuroscience 20 2000 3017 3032
52. J.D. Victor The dynamics of the cat retinal x-cell center Journal of Physiology (London) 386 1987 219 246
53. Y.G. Yu, and T.S. Lee Dynamical mechanisms underlying contrast gain control in single neurons Physical Review E 68 2003 1901 1907
54. Yu, Y. G., Potetz, B., & Lee, T. S. (submitted for publication). Neuronal design principles for contrast gain control. Vision Research