Decorrelation and efficient coding by retinal ganglion cells

Nature Neuroscience

Volumn 15, Issue 4, 2012, Pages 628-635

  Pitkow, Xaq ^a   Meister, Markus ^b  

^a UNIVERSITY OF ROCHESTER   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ANIMAL TISSUE; ARTICLE; LIGHT EXPOSURE; MACACA; NERVE CELL MEMBRANE POTENTIAL; NEUROTRANSMISSION; NONHUMAN; OPTIC NERVE FIBER; PHOTOPIC VISION; PHOTORECEPTOR; PRIORITY JOURNAL; RECEPTIVE FIELD; RETINA GANGLION CELL; SALAMANDER; SPIKE; VISION; VISUAL STIMULATION; WHITE NOISE;

ACTION POTENTIALS; AMBYSTOMA; ANIMALS; PHOTIC STIMULATION; RETINAL GANGLION CELLS; VISUAL FIELDS;

EID: 84859218381     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.3064     Document Type: Article

References (60)

1. Attneave, F. Some informational aspects of visual perception. Psychol. Rev. 61, 183-193 (1954).
2. Barlow, H.B. Possible principles underlying the transformation of sensory messages. in Sensory Communication (ed. Rosenblith, W.A.) 217-234 (MIT Press, Cambridge, MA, 1961).
3. Srinivasan, M.V., Laughlin, S.B. & Dubs, A. Predictive coding: a fresh view of inhibition in the retina. Proc. R. Soc. Lond. B Biol. Sci. 216, 427-459 (1982).
4. Atick, J.J. & Redlich, A.N. What does the retina know about natural scenes? Neural Comput. 4, 196-210 (1992).
5. Atick, J.J. & Redlich, A.N. Convergent algorithm for sensory receptive field development. Neural Comput. 5, 45-60 (1993).
6. Atick, J.J. & Redlich, A.N. Could information theory provide an ecological theory of sensory processing? Network 3, 213-251 (1992).
7. van Hateren, J.H. Real and optimal neural images in early vision. Nature 360, 68-70 (1992).
8. van Hateren, J.H. Spatiotemporal contrast sensitivity of early vision. Vision Res. 33, 257-267 (1993).
9. Field, D.J. Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Am. A 4, 2379-2394 (1987).
10. Atick, J.J. & Redlich, A.N. Toward a theory of early visual processing. Neural Comput. 2, 308-320 (1990).
11. Dan, Y., Atick, J.J. & Reid, R.C. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J. Neurosci. 16, 3351-3362 (1996).
12. Puchalla, J.L., Schneidman, E., Harris, R.A. & Berry, M.J. Redundancy in the population code of the retina. Neuron 46, 493-504 (2005).
13. Chichilnisky, E.J. A simple white noise analysis of neuronal light responses. Network 12, 199-213 (2001).
14. Warland, D.K., Reinagel, P. & Meister, M. Decoding visual information from a population of retinal ganglion cells. J. Neurophysiol. 78, 2336-2350 (1997).
15. Segev, R., Puchalla, J. & Berry, M.J. Functional organization of ganglion cells in the salamander retina. J. Neurophysiol. 95, 2277-2292 (2006).
16. Enroth-Cugell, C. & Robson, J.G. Functional characteristics and diversity of cat retinal ganglion cells. Basic characteristics and quantitative description. Invest. Ophthalmol. Vis. Sci. 25, 250-267 (1984).
17. Berry, M.J. & Meister, M. Refractoriness and neural precision. J. Neurosci. 18, 2200-2211 (1998).
18. Burrone, J. & Lagnado, L. Synaptic depression and the kinetics of exocytosis in retinal bipolar cells. J. Neurosci. 20, 568-578 (2000).
19. Demb, J.B., Zaghloul, K., Haarsma, L. & Sterling, P. Bipolar cells contribute to nonlinear spatial summation in the brisk-transient (Y) ganglion cell in mammalian retina. J. Neurosci. 21, 7447-7454 (2001).
20. Field, G.D. & Rieke, F. Nonlinear signal transfer from mouse rods to bipolar cells and implications for visual sensitivity. Neuron 34, 773-785 (2002).
21. Uzzell, V.J. & Chichilnisky, E.J. Precision of spike trains in primate retinal ganglion cells. J. Neurophysiol. 92, 780-789 (2004).
22. Pillow, J.W. et al. Spatio-temporal correlations and visual signaling in a complete neuronal population. Nature 454, 995-999 (2008).
23. Chichilnisky, E.J. & Kalmar, R.S. Functional asymmetries in ON and OFF ganglion cells of primate retina. J. Neurosci. 22, 2737-2747 (2002).
24. Croner, L.J., Purpura, K. & Kaplan, E. Response variability in retinal ganglion cells of primates. Proc. Natl. Acad. Sci. USA 90, 8128-8130 (1993).
25. Schwartz, O., Pillow, J.W., Rust, N.C. & Simoncelli, E.P. Spike-triggered neural characterization. J. Vis. 6, 484-507 (2006).
26. Lancaster, H.O. Some properties of the bivariate normal distribution considered in the form of a contingency table. Biometrika 44, 289-292 (1957).
27. de la Rocha, J., Doiron, B., Shea-Brown, E., Josic, K. & Reyes, A. Correlation between neural spike trains increases with firing rate. Nature 448, 802-806 (2007).
28. Berry, M.J., Warland, D.K. & Meister, M. The structure and precision of retinal spike trains. Proc. Natl. Acad. Sci. USA 94, 5411-5416 (1997).
29. Reinagel, P. How do visual neurons respond in the real world? Curr. Opin. Neurobiol. 11, 437-442 (2001).
30. Baccus, S.A. & Meister, M. Fast and slow contrast adaptation in retinal circuitry. Neuron 36, 909-919 (2002).
31. Stein, R.B. The information capacity of nerve cells using a frequency code. Biophys. J. 7, 797-826 (1967).
32. Shamai, S. Capacity of a pulse amplitude modulated direct detection photon channel. IEE Proc. Commun. Speech Vis. 137, 424-430 (1990).
33. Keat, J., Reinagel, P., Reid, R.C. & Meister, M. Predicting every spike: a model for the responses of visual neurons. Neuron 30, 803-817 (2001).
34. Balasubramanian, V. & Berry, M.J. A test of metabolically efficient coding in the retina. Network 13, 531-552 (2002).
35. Hosoya, T., Baccus, S.A. & Meister, M. Dynamic predictive coding by the retina. Nature 436, 71-77 (2005).
36. Croner, L.J. & Kaplan, E. Receptive fields of P and M ganglion cells across the primate retina. Vision Res. 35, 7-24 (1995).
37. Barlow, H.B. & Levick, W.R. The mechanism of directionally selective units in rabbit′s retina. J. Physiol. (Lond.) 178, 477-504 (1965).
38. Ölveczky, B.P., Baccus, S.A. & Meister, M. Segregation of object and background motion in the retina. Nature 423, 401-408 (2003).
39. Levick, W.R. Receptive fields and trigger features of ganglion cells in the visual streak of the rabbits retina. J. Physiol. (Lond.) 188, 285-307 (1967).
40. Gollisch, T. & Meister, M. Eye smarter than scientists believed: neural computations in circuits of the retina. Neuron 65, 150-164 (2010).
41. Dacey, D.M. Origins of perception: retinal ganglion cell diversity and the creation of parallel visual pathways. in The Cognitive Neurosciences (ed. Gazzaniga, M.S.) 281-301 (MIT Press, Cambridge, Massachusetts, 2004).
42. Laughlin, S.B. A simple coding procedure enhances a neuron′s information capacity. Z. Naturforsch. C 36c, 910-912 (1981).
43. Olshausen, B.A. & Field, D.J. Sparse coding of sensory inputs. Curr. Opin. Neurobiol. 14, 481-487 (2004).
44. Ringach, D.L. & Malone, B.J. The operating point of the cortex: neurons as large deviation detectors. J. Neurosci. 27, 7673-7683 (2007).
45. van Vreeswijk, C.A. Whence sparseness? Adv. Neural Inf. Process. Syst. 13, 189-195 (2001).
46. Vinje, W.E. & Gallant, J.L. Sparse coding and decorrelation in primary visual cortex during natural vision. Science 287, 1273-1276 (2000).
47. Wang, X.J., Liu, Y., Sanchez-Vives, M.V. & McCormick, D.A. Adaptation and temporal decorrelation by single neurons in the primary visual cortex. J. Neurophysiol. 89, 3279-3293 (2003).
48. Rucci, M. & Casile, A. Fixational instability and natural image statistics: implications for early visual representations. Network 16, 121-138 (2005).
49. Cleland, T.A. Early transformations in odor representation. Trends Neurosci. 33, 130-139 (2010).
50. Wiechert, M.T., Judkewitz, B., Riecke, H. & Friedrich, R.W. Mechanisms of pattern decorrelation by recurrent neuronal circuits. Nat. Neurosci. 13, 1003-1010 (2010).
51. Meister, M., Pine, J. & Baylor, D.A. Multi-neuronal signals from the retina: acquisition and analysis. J. Neurosci. Methods 51, 95-106 (1994).
52. Segev, R., Puchalla, J. & Berry, M.J. Functional organization of ganglion cells in the salamander retina. J. Neurophysiol. 95, 2277-2292 (2006).
53. Himstedt, W. Prey selection in salamanders. in Analysis of Visual Behavior (eds. Ingale, D.J., Goodale, M.A. & Mansfield, R.J.W.) 47-66 (MIT Press, Cambridge, Massachusetts, 1982).
54. Dong, D.W. & Atick, J.J. Statistics of natural time-varying images. Network 6, 345-358 (1995).
55. Croner, L.J. & Kaplan, E. Receptive fields of P and M ganglion cells across the primate retina. Vision Res. 35, 7-24 (1995).
56. Chichilnisky, E.J. & Kalmar, R.S. Functional asymmetries in ON and OFF ganglion cells of primate retina. J. Neurosci. 22, 2737-2747 (2002).
57. Berry, M.J. & Meister, M. Refractoriness and neural precision. J. Neurosci. 18, 2200-2211 (1998).
58. Uzzell, V.J. & Chichilnisky, E.J. Precision of spike trains in primate retinal ganglion cells. J. Neurophysiol. 92, 780-789 (2004).
59. Schneidman, E., Bialek, W. & Berry, M.J. Synergy, redundancy and independence in population codes. J. Neurosci. 23, 11539-11553 (2003).
60. Pillow, J.W. et al. Spatio-temporal correlations and visual signaling in a complete neuronal population. Nature 454, 995-999 (2008).