Dynamical mechanisms underlying contrast gain control in single neurons

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 68, Issue 1, 2003, Pages 7-

  Yu, Yuguo ^a   Lee, Tai Sing ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; GAIN CONTROL; STATISTICS; TRANSFER FUNCTIONS;

SENSORY NEURONS;

NEUROPHYSIOLOGY;

ANIMAL; BIOLOGICAL MODEL; BIOPHYSICS; NERVE CELL; PHYSIOLOGY; STATISTICAL MODEL; SYNAPTIC TRANSMISSION; TIME;

ANIMALS; BIOPHYSICAL PHENOMENA; BIOPHYSICS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 85035209607     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.68.011901     Document Type: Article

References (45)

1. H. B. Barlow, R. Fitzhugh, and S. W. Kuffler, J. Physiol. (London) 137, 338 (1957);
2. S. A. Baccus and M. Meister, Neuron 36, 909 (2002).
3. M. J. Korenberg, in Proceedings of the 10th Annual Rocky Mountain Bioengineering Symposium, edited by M. J. Korenberg (IEEE, New York, 1973), p. 47;P. Z. Marmarelis and V. Z. Marmarelis, Analysis of Physiological Systems: The White-Noise Approach (Plenum, New York, 1978);
4. H. M. Sakai, Physiol. Rev. 72, 491 (1992).
5. J. Walraven, C. Enroth-Cugell, D. C. Hood, D. I. A. MacLeod, and J. L. Schnapf, in Visual Perception: The Neurophysiological Foundations, edited by L. Spillmann and S. J. Werner (Academic, San Diego, 1990), pp. 53–101.
6. R. Shapley, Curr. Biol. 7, 421 (1997);
7. M. Meister and M. J. Berry, Neuron 22, 435 (1999).
8. S. B. Laughlin, in Handbook of Sensory Physiology, edited by H. Autrum (Springer, Berlin, 1981), Vol. 7 (6B), pp. 133–280;
9. R. R. de Ruyter van Steveninck, W. H. Zaagman, and H. A. K. Mastebroek, Biol. Cybern. 54, 223 (1986);R. R. de Ruyter van Steveninck, W. Bialek, M. Potters, R. H. Carlson, and G. D. Lewen, in Natural and Artificial Parallel Computation, Proceedings of the Fifth NEC Research Symposium, edited by D. L. Waltz (SIAM, Philadelphia, 1996), pp. 21–41.
10. N. Brenner, W. Bialek, and R. R. de Ruyter van Steveninck, Neuron 26, 695 (2000);
11. A. L. Fairhall, G. D. Lewen, W. Bialek, and R. R. de Ruyter van Steveninck, Nature (London) 412, 787 (2001).
12. R. D. Romero, Y. Yu, P. Afshar, and T. S. Lee, Neurocomputing 52–54, 135 (2003).
13. R. L. Jenison, J. W. H. Schnupp, R. A. Reale, and J. F. Brugge, J. Neurosci. 21, 4408 (2001).
14. R. M. Shapley and J. D. Victor, Vision Res. 19, 431 (1979);
15. R. M. ShapleyJ. D. VictorJ. Physiol. (London) 290, 141 (1979);
16. J. Physiol. (London)R. M. ShapleyJ. D. Victor302, 535 (1980).
17. M. J. Wainwright, Vision Res. 39, 3960 (1999).
18. R. Shapley and C. Enroth-Cugell, Prog. Retinal Res. 3, 263 (1984).
19. H. M. Sakai and K.-I. Naka, J. Gen. Physiol. 105, 815 (1995);
20. S. M. Smirnakis, M. J. Berry, D. K. Warland, W. Bialek, and M. Meister, Nature (London) 386, 69 (1997);
21. E. A. Benardete and E. Kaplan, Visual Neurosci. 16, 355 (1999);
22. S. P. Brown and R. H. Masland, Nat. Neurosci. 4, 44 (2001);
23. K. J. Kim and F. Rieke, J. Neurosci. 21, 287 (2001);
24. J. Neurosci.D. Chander and E. J. Chichilnisky, 21, 9904 (2001).
25. F. S. Chance, L. F. Abbott, and A. D. Reyes, Neuron 35, 773 (2001);
26. M. V. Sanchez-Vives, L. G. Nowak, and D. A. McCormick, J. Neurosci. 20, 4286 (2000);
27. J. Neurosci.M. V. Sanchez-VivesL. G. NowakD. A. McCormick20, 4267 (2000).
28. M. E. Rudd and L. Brown, Neural Comput. 9, 1047 (1997);
29. Y. G. Yu and T. S. Lee, Neurocomputing 52–54, 441 (2003);
30. NeurocomputingL. Paninski, B. Lau, and A. Reyes, 52–54, 877 (2003);
31. NeurocomputingJ. W. Pillow and E. P. Simoncelli, 52–54, 109 (2003).
32. A. L. Hodgkin and A. F. Huxley, J. Physiol. (London) 117, 500 (1952).
33. L. M. Ricciardi, Diffusion Processes and Related Topics on Biology (Springer-Verlag, Berlin, 1977).
34. Y. W. Lee and M. Schetzen, Nit. J. Control. 2, 237 (1965).
35. V. Z. Marmarelis, Ann. Biomed. Eng. 21, 573 (1993).
36. A. Volterra, Theory of Functions and of Integral and Integro-Differential Equations (Dover, New York, 1930).
37. M. J. Korenberg, Ann. Biomed. Eng. 16, 123 (1988).
38. H. R. Wilson, Spikes, Decisions, and Actions: The Dynamical Foundations of Neuroscience (Oxford University Press, New York, 1999).
39. N. Brunel, J. Comput. Neurosci. 8, 183 (2000).
40. T. Hida, Advanced Mathematical Approach to Biology (World Scientific, Singapore, 1997).
41. L. Gammaitoni, P. Hänggi, P. Jung, and F. Marchesoni, Rev. Mod. Phys. 70, 223 (1998).
42. G. Hu, T. Ditzinger, C. Bing, and H. Haken, Phys. Rev. Lett. 71, 807 (1993);
43. Phys. Rev. Lett.A. S. Pikovsky and J. Kurths, 78, 775 (1997).
44. Z. F. Mainen and T. J. Sejnowski, Science 268, 1503 (1995).
45. W. Bialek and A. Zee, J. Stat. Phys. 59, 103 (1990);F. Rieke, D. Warland, R. R. de Ruyter van Steveninck, and W. Bialek, Spikes: Exploring the Neural Code (MIT Press, Cambridge, MA, 1997).