Adaptation and temporal decorrelation by single neurons in the primary visual cortex

Journal of Neurophysiology

Volumn 89, Issue 6, 2003, Pages 3279-3293

  Wang, Xiao Jing ^a   Liu, Yinghui ^a   Sanchez Vives, Maria V ^b   McCormick, David A ^c  

^a BRANDEIS UNIVERSITY   (United States)

^b INSTITUTO DE NEUROCIENCIAS   (Spain)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION; AFTERHYPERPOLARIZATION; ARTICLE; BRAIN CELL; CONDUCTANCE; CORRELATION ANALYSIS; FERRET; ION CURRENT; POTASSIUM CURRENT; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; REDUNDANCY ANALYSIS; STELLATE CELL; VISUAL CORTEX;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; CONTRAST SENSITIVITY; FEMALE; FERRETS; MALE; MODELS, BIOLOGICAL; NEURONS; PERCEPTION; POTASSIUM CHANNELS; POTASSIUM CHANNELS, CALCIUM-ACTIVATED; PYRAMIDAL CELLS; TIME FACTORS; VISUAL CORTEX; VISUAL PERCEPTION;

EID: 0037941461     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.00242.2003     Document Type: Article

References (87)

1. Abbott LF, Varela JA, Sen K, and Nelson SB. Synaptic depression and cortical gain control. Science 275: 220-224, 1997.
2. Adorján P, Piepenbrock C, and Obermayer K. Contrast adaptation and info-max in visual cortical neurons. Rev Neurosci 10: 181-200, 1999.
3. Aghajanian GK and Rasmussen K. Intracellular studies in the facial nucleus illustrating a simple new method for obtaining viable motor neurons in adult rat brain slices. Synapse 3: 331-338, 1989.
4. Ahmed B, Allison JD, Douglas RJ, and Martin KAC. An intracellular study of the contrast-dependence of neuronal activity in cat visual cortex. Cereb Cortex 7: 559-570, 1997.
5. Atick JJ. Could information theory provide an ecological theory of sensory processing? Network 3: 213-251, 1992.
6. Attneave F. Some informational aspects of visual perception. Pysch Rev 61: 183-193, 1954.
7. Baccus SA and Meister M. Fast and slow contrast adaptation in retinal circuitry. Neuron 36: 909-919, 2002.
8. Baddeley R, Abbott LF, Booth MC, Sengpiel F, Freeman T, Wakeman EA, and Rolls ET. Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proc R Soc Lond B Biol Sci 264: 1775-1783. 1997.
9. Barlow HB. Possible principles underlying the transformations of sensory messages. In: Sensory Communication, edited by Rosenblith WA. Cambridge, MA: MIT Press, 1961, p. 217-234.
10. Barlow HB. A theory about the functional role and synaptic mechanism of visual after-effects. In: Vision: Coding and Efficiency, edited by Blakemore C. Cambridge, UK: Cambridge University Press, 1990.
11. Barlow HB. Redundancy reduction revisited. Network Comput Neural Systems 12: 241-253, 2001.
12. Barlow HB and Foldiak P. Adaptation and decorrelation in the cortex. In: The Computing Neuron, edited by Durbin R, Miall C, and Mitchison G. New York: Addison-Wesley, 1989, p. 454-472.
13. Bell AJ and Sejnowski TJ. The "independent components" of natural scenes are edge filters. Vision Res 37: 3327-3338, 1997.
14. + channels in small dorsal root ganglion neurons of rat. J Physiol 510: 743-754, 1998.
15. Blakemore CB and Campbell FW. On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images. J Physiol 203: 237-260, 1969.
16. Brenner N, Bialek W, and de Ruyter van Steveninck R. Adaptive rescaling maximizes information transmission. Neuron 26: 695-702, 2000.
17. Brown SP and Masland RH. Spatial scale and cellular substrate of contrast adaptation by retinal ganglion cells. Nat Neurosci 4: 44-51, 2001.
18. Carandini M and Ferster D. A tonic hyperpolarization underlying contrast adaptation in cat visual cortex. Science 276: 949-952, 1997.
19. Carandini M, Movshon JA, and Ferster D. Pattern adaptation and cross-orientation interactions in the primary visual cortex. Neuropharmacology 37: 501-511, 1998.
20. Chance FS, Nelson SB, and Abbott LF. Synaptic depression and the temporal response characteristics of V1 cells. J Neurosci 18: 4785-4799, 1998.
21. Chander D and Chichilnisky EJ. Adaptation to temporal contrast in primate and salamander retina. J Neurosci 21: 9904-9916, 2001.
22. Chung S, Li X, and Nelson SB. Short-term depression at thalamocortical synapses contributes to rapid adaptation of cortical sensory responses in vivo. Neuro 34: 437-446, 2002.
23. Dan Y, Atick JJ, and Reid RC. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J Neurosci 16: 3351-3362, 1996.
24. Dong DW and Atick JJ. Statistics of natural time-varying images. Network Comput Neural Systems 6: 345-358, 1995a.
25. Dong DW and Atick JJ. Temporal decorrelation: a theory of lagged and nonlagged responses in the lateral geniculate nucleus. Network Comput Neural Systems 6: 159-178, 1995b.
26. Dragoi V, Sharma J, and Sur M. Adaptation-induced plasticity of orientation tuning in adult visual cortex. Neuron 28: 287-298, 2000.
27. + channels: a new family of large-conductance ion channels. Trends Neurosci 17: 155-160, 1994.
28. Egan TM, Dagan D, Kupper J, and Levitan IB. Properties and rundown of sodium-activated potassium channels in rat olfactory bulb neurons. J Neurosci 12: 1964-1976, 1992a.
29. + channels are widely distributed in rat CNS and Xenopus ocytes. Brain Res 584: 319-321, 1992b.
30. Ermentrout B. Linearization of F-I curves by adaptation. Neural Comput 10: 1721-1929, 1998.
31. Fain GL. Molecular and Cellular Physiology of Neurons. Cambridge, MA: Harvard Univ. Press, 1999.
32. Fairhall AL, Lewen GD, Bialek W, de Ruyter Van Steveninck RR. Efficiency and ambiguity in an adaptive neural code. Nature 412: 787-792. 2001.
33. Field DJ. What is the goal of sensory coding? Neural Comput 6: 559-601, 1994.
34. Finlayson PG and Cynader MS. Synaptic depression in visual cortex tissue slices: an in vitro model for cortical neuron adaptation. Exp Brain Res 106: 145-155, 1995.
35. Gabbiani F and Koch C. Principles of spike train analysis. In: Methods in Neuronal Modeling: From Synapses to Networks (2nd ed.) edited by Koch C and Segev I. Cambridge, MA: MIT Press, 1998, p. 313-360.
36. Galvan M. Dorge A, Beck F, and Rick R. Intracellular electrolyte concentrations in rat sympathetic neurones measured with an electron microprobe. Pflugers Arch 400: 274-279, 1984.
37. Goldman MS, Maldonado P, and Abbott LF. Redundancy reduction and sustained firing with stochastic depressing synapses. J Neurosci 22: 584-591, 2002.
38. Goldman MS, Nelson SB, and Abbott LF. Decorrelation of spike trains by synaptic depression. Neurocomputing 26/27: 147-153, 1999.
39. Grafe P, Rimpel J, and Reddy MM. Changes of intracellular sodium and potassium ion concentrations in frog spinal motoneurons induced by repetitive synaptic stimulation. Neuroscience 7: 2113-2120, 1982.
40. Greenlee MW, Georgeson MA, Magnussen S, and Harris JP. The time course of adaptation to spatial contrast. Vision Res 31: 223-236, 1991.
41. Greenlee MW and Heitger F. The functional role of contrast adaptation. Vision Res 28: 791-797, 1988.
42. 2+ signaling in dendrites of pyramidal neurons. Biophys J 70: 1069-1081, 1996.
43. Hodgkin AL and Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117: 500-544, 1952.
44. Jaffe DB, Johnston D, Lasser-Ross N, Lisman JE, Miyakawa H, and Ross WN. The spread of Na+ spikes determines the pattern of dendritic Ca2+ entry into hippocampal neurons. Nature 357: 244-256, 1992.
45. + channel in mammalian cardiac cells. Nature 309: 354-356, 1984.
46. Kepecs A, Wang X-J, and Lisman J. Burst neurons signal input slope. J Neurosci 22: 9053-9062, 2002.
47. Kim KJ and Rieke F. Temporal contrast adaptation in the input and output signals of salamander retinal ganglion cells. J Neurosci 21: 287-299, 2001.
48. + inactivation and variance adaptation in salamander retinal ganglion cells. J Neurosci 23: 1506-1516, 2003.
49. + channels localized in the nodal region of myelinated axons of Xenopus. J Physiol 479: 183-197, 1994.
50. Laughlin SB. A simple coding procedure enhances a neurons information capacity. Z Naturforsch 36: 910-912, 1981.
51. Li YX, Bertran R, and Rinzel J. Modeling N-methyl-D-aspartate-induced bursting in dopamine neurons. Neuroscience 71: 397-410, 1996.
52. Liu YH and Wang X-J. Spike-frequency adaptation of a generalized integrate-and-fire model neuron. J Comput Neurosci 10: 25-45, 2001.
53. Maffei L, Fiorentini A, and Bisti S. Neural correlate of perceptual adaptation to gratings. Science 182: 1036-1038, 1973.
54. Matveev V and Wang X-J. Differential short-term synaptic plasticity and transmission of complex spike trains: to depress or to facilitate? Cereb Cortex 10: 1143-1153, 2000.
55. Movshon JA and Lennie P. Pattern-selective adaptation in visual cortical neurones. Nature 278: 850-852, 1979.
56. Nelson SB. Temporal interactions in the cat visual system. J Neurosci 11: 344-380, 1991.
57. Ohzawa I, Sclar G, and Freeman RD. Contrast gain control in the cat's visual system. J Neurophysiol 54: 651-667, 1985.
58. Olshausen BA and Field DJ. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381: 607-609, 1996.
59. Pinsky P and Rinzel J. Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons. J Comput Neurosci 1: 39-60, 1994.
60. Qian N and Sejnowski TJ. An electro-diffusion model for computing membrane potentials and ionic concentrations in branching dendrites, spines and axons. Biol Cybern 62: 1-15, 1989.
61. Rao RP, Olshausen BA, and Lewicki MS. Probabilistic Models of the Brain. Cambridge, MA: MIT Press, 2002.
62. Rieke F. Temporal contrast adaptation in salamander bipolar cells. J Neurosci 21: 9445-9454, 2001.
63. Rose CR, Kovalchuk Y, Eilers J, and Konnerth A. Two-photon Na+ imaging in spines and fine dendrites of central neurons. Pflugers Arch 439: 201-207, 1999.
64. Rose CR and Ransom BR. Regulation of intracellular sodium in cultured rat hippocampal neurons. J Physiol 499: 573-587, 1997.
65. Ruderman DL. The statistics of natural images. Network Comput Neural Syst 5: 517-548, 1994.
66. Ruderman DL and Bialek W. Statistics of natural images: scaling in the woods. Physical Rev Lett 73: 814-817, 1994.
67. Sanchez-Vives MV, Nowak LG, and McCormick DA. Membrane mechanisms underlying contrast adaptation in cat area 17 in vivo. J Neurosci 20: 4267-4285, 2000a.
68. Sanchez-Vives MV, Nowak LG, and McCormic DA. Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro. J Neurosci 20: 4286-4299, 2000b.
69. Schwindt RC, Spain WJ, and Crill WE. Long-lasting reduction of excitability by a sodium-dependent potassium current in cat neocortical neurons. J Neurophysiol 61: 233-244, 1989.
70. Schwindt RC, Spain WJ, Foehring RC, Chubb MC, aned Crill WE. Slow conductances in neurons from cat sensorimotor cortex in vitro and their role in slow excitability changes. J Neurophysiol 59: 450-467, 1988.
71. Sclar G, Ohzawa I, and Freeman RD. Contrast gain control in the kitten's visual system. J Neurophysiol 54: 668-673, 1985.
72. Shapley R. Retinal physiology: adapting to the changing scene. Curr Biol 7: R421-423, 1997.
73. Shapley R and Victor JD. The effect of contrast on the transfer properties of cat retinal ganglion cells. J Physiol 285: 275-298, 1978.
74. Sherman SM. Tonic and burst firing: dual modes of thalamocortical relay. Trends Neurosci 24: 122-126, 2001.
75. Simoncelli EP and Olshausen BA. Natural image statistics and neural representation. Annu Rev Neurosci 24: 1193-1216, 2001.
76. Singer W and Gray CM. Visual feature integration and the temporal correlation hypothesis. Annu Rev Neurosci 18: 555-586, 1995.
77. Smirnakis SM, Berry MJ, Warland DK, Bialek W, and Meister M. Adaptation of retinal processing to image contrast and spatial scale. Nature 386: 69-73, 1997.
78. Somers DC, Todorov EV, Siapas AG, Toth LJ, Kim DS, and Sur M. A local circuit approach to understanding integration of long-range inputs in primary visual cortex. Cereb Cortex 8: 204-217, 1998.
79. Srinivasan MV, Laughlin SB, and Dubs A. Predictive coding: a fresh view of inhibition in the retina. J R Soc Lond B Biol Sci 216: 427-459, 1982.
80. Tsodyks M and Markram H. The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Natl Acad Sci USA 94: 719-723, 1997.
81. Varela JA, Sen K, Gibson J, Fost J, Abbott LF, and Nelson SB. A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. J Neurosci 17: 7926-2940, 1997.
82. van Hateren JH. Processing of natural time series of intensities by the visual system of the blowfly. Vision Res 37: 3407-3416, 1997.
83. van Hateren JH and van der Schaaf A. Temporal properties of natural scenes. IS&T/SPIE Proceedings 2657: 139-143, 1996.
84. Vidyasagar TR. Pattern adaptation in cat visual cortex is a cooperative phenomenon. Neurosci 36: 175-179, 1990.
85. Vinje WE and Gallant JL. Sparse coding and decorrelation in primary visual cortex during natural vision. Science 287: 1273-1276, 2000.
86. Wainwright MJ. Visual adaptation as optimal information transmission. Vis Res 39: 3960-3974, 1999.
87. Wang X-J. Calcium coding and adaptive temporal computation in cortical pyramidal neurons. J Neurophysiol 79: 1549-1566, 1998.