Information Transmission Rates of Cat Retinal Ganglion Cells

Journal of Neurophysiology

Volumn 91, Issue 3, 2004, Pages 1217-1229

  Passaglia, Christopher L ^a,b   Troy, John B ^a  

^a Northwestern University   (United States)

^b Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; CAT; CONTROLLED STUDY; INFORMATION PROCESSING; LUMINANCE; MALE; NONHUMAN; PRIORITY JOURNAL; RECEPTIVE FIELD; REPRODUCIBILITY; RETINA GANGLION CELL; SIGNAL NOISE RATIO; SPIKE; VISUAL STIMULATION;

ALGORITHMS; ANIMALS; CATS; ELECTROPHYSIOLOGY; ENTROPY; LINEAR MODELS; MALE; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; PHOTIC STIMULATION; REPRODUCIBILITY OF RESULTS; RETINAL GANGLION CELLS; SYNAPTIC TRANSMISSION; VISUAL PERCEPTION;

EID: 1342322843     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.00796.2003     Document Type: Article

References (48)

1. Ahmed B, Anderson J, Douglas R, Martin K, and Whitteridge D. Estimates of the net excitatory currents evoked by visual stimulation of identified neurons in cat visual cortex. Cereb Cortex 8: 462-476, 1998.
2. Bair W and Koch C. Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey. Neural Comput 8: 1185-1202, 1996.
3. Berry MJ and Meister M. Refractoriness and neural precision. J Neurosci 18: 2200-2211, 1998.
4. Berry MJ, Warland DW, and Meister M. The structure and precision of retinal spike trains. Proc Natl Acad Sci USA 94: 5411-5416, 1997.
5. Bialek W, Rieke F, de Ruyter van Steveninck RR, and Warland D. Reading a neural code. Science 252: 1854-1857, 1991.
6. Borst A and Theunissen FE. Information theory and neural coding. Nat Neurosci 2: 947-957, 1999.
7. Buraças GT, Zador AM, DeWeese MR, and Albright TD. Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex. Neuron 20: 959-969, 1998.
8. Dacey DM. Parallel pathways for spectral coding in primate retina. Annu Rev Neurosci 23: 743-775, 2000.
9. deCharms RC and Zador A. Neural representation and the cortical code. Annu Rev Neurosci 23: 613-647, 2000.
10. de Ruyter van Steveninck RR, Lewen GD, Strong SO, Koberle R, and Bialek W. Reproducibility and variability in neural spike trains. Science 275: 1805-1808, 1997.
11. Eckhorn R and Pöpel B. Rigorous and extended application of information theory to the afferent visual system of the cat. II. Experimental results. Biol Cybern 17: 71-77, 1975.
12. Enroth-Cugell C and Robson JG. The contrast sensitivity of retinal ganglion cells in the cat. J Physiol 187: 517-522, 1966.
13. Ferster D and Spruston N. Cracking the neuronal code. Science 270: 756-757, 1995.
14. Frishman LJ, Freeman AW, Troy JB, Schweitzer-Tong D, and Enroth-Cugell C. Spatiotemporal frequency response of cat retinal ganglion cells. J Gen Physiol 89: 599-628, 1987.
15. Haag J and Borst A. Active membrane properties and signal encoding in graded potential neurons. J Neurosci 18: 7972-7986, 1998.
16. Hochstein S and Shapley RM. Quantitative analysis of retinal ganglion cell classifications. J Physiol 262: 237-264, 1976.
17. Hubel DH and Wiesel TN. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol 160: 106-154, 1962.
18. Keat J, Reinagel P, Reid RC, and Meister M. Predicting every spike: a model for the responses of visual neurons. Neuron 30: 803-817, 2001.
19. 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.
20. Kuffler SW. Discharge patterns and functional organization of mammalian retina. J Neurophysiol 16: 37-68, 1953.
21. Kuffler SW, Fitzhugh R, and Barlow HB. Maintained activity in the cat's retina in light and darkness. J Gen Physiol 40: 683-702, 1957.
22. Lennie P. Parallel visual pathways: a review. Vision Res 20: 561-594, 1980.
23. Linsenmeier RA, Frishman LJ, Jakiela HG, and Enroth-Cugell C. Receptive field properties of X and Y cells in the cat retina derived from contrast-sensitivity measurements. Vision Res 22: 1173-1183, 1982.
24. Liu RC, Tzonev S, Rebrik S, and Miller KD. Variability and information in a neural code of the cat lateral geniculate nucleus. J Neurophysiol 86: 2789-2806, 2001.
25. Mukherjee P and Kaplan E. Dynamics of neurons in the cat lateral geniculate nucleus: in vivo electrophysiology and computational modeling. J Neurophysiol 74: 1222-1243, 1995.
26. Reich DS, Mechler F, Purpura KP, and Victor JD. Interspike intervals, receptive fields, and information encoding in primary visual cortex. J Neurosci 20: 1964-1974, 2000.
27. Reich DS, Mechler F, and Victor JD. Temporal coding of contrast in primary visual cortex: when, what, and why. J Neurophysiol 85: 1039-1050, 2001.
28. Reich DS, Victor JD, Knight BW, Ozaki T, and Kaplan E. Response variability and timing precision of neuronal spike trains in vivo. J Neurophysiol 77: 2836-2841, 1997.
29. Reinagel P, Godwin D, Sherman SM, and Koch C. Encoding of visual information by LGN bursts. J Neurophysiol 81: 2558-2569, 1999.
30. Reinagel P and Reid RC. Temporal coding of visual information in the thalamus. J Neurosci 20: 5392-5400, 2000.
31. Rieke F, Warland D, de Ruyter van Steveninck RR, and Bialek W. Spikes: Exploring the Neural Code. Cambridge, MA: MIT Press, 1997.
32. Sanchez-Vives MV, Nowack LG, and McCormick DA. Cellular mechanisms of long-lasting adaptation in visual cortical neurons in vitro. J Neurosci 20: 4286-4299, 2000.
33. Schiller PH. The ON and OFF channels of the visual system. Trends Neurosci 15: 86-92, 1992.
34. Shapley RM and Enroth-Cugell C. Visual adaptation and retinal gain controls. Prog Retinal Res 3: 263-343, 1984.
35. Shapley RM and Victor JD. The effect of contrast on the transfer properties of cat retinal ganglion cells. J Physiol 285: 275-298, 1978.
36. 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.
37. Strong SP, Koberle R, de Ruyter van Steveninck RR, and Bialek W. Entropy and information in neural spike trains. Phys Rev Lett 80: 197-200, 1998.
38. Theunissen F and Miller JP. Temporal encoding in nervous systems: a rigorous definition. J Comput Neurosci 2: 149-162, 1995.
39. Troy JB. Do Y geniculate neurons have greater contrast sensitivity than X geniculate neurons at all visual field locations? Vision Res 27: 1733-1735, 1987.
40. Troy JB, Bohnsack DL, and Diller LC. Spatial properties of the cat X-cell receptive field as a function of mean light level. Vis Neurosci 16: 1089-1104, 1999.
41. Troy JB, Oh JK, and Enroth-Cugell C. Effect of ambient illumination on the spatial properties of the center and surround of Y-cell receptive fields. Vis Neurosci 10: 753-764, 1993.
42. Troy JB and Robson JG. Steady discharges of X and Y retinal ganglion cells of cat under photopic illuminance. Vis Neurosci 9: 535-553, 1992.
43. van Hateren JH, Ruttiger L, Sun H, and Lee BB. Processing of natural temporal stimuli by macaque retinal ganglion cells. J Neurosci 22: 9945-9960, 2002.
44. van Hateren JH and Snippe HP. Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells. Vision Res 41: 1851-1865, 2001.
45. Victor JD. The dynamics of the cat retinal X-cell center. J Physiol 386: 219-246, 1987.
46. Victor JD. Temporal aspects of neural coding in the retina and lateral geniculate. Network: Comput Neural Syst 10: R1-1166, 1999.
47. Warland DK, Reinagel P, and Meister M. Decoding visual information from a population of retinal ganglion cells. J Neurophysiol 78: 2336-2350, 1997.
48. Wässle H and Boycott BB. Functional architecture of the mammalian retina. Physiol Rev 71: 447-480, 1991.