In praise of artifice

Nature Neuroscience

Volumn 8, Issue 12, 2005, Pages 1647-1650

  Rust, Nicole C ^a   Movshon, J Anthony ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; CINERADIOGRAPHY; CONTRAST SENSITIVITY; IMAGE PROCESSING; NEUROSCIENCE; PHOTOGRAPHY; PREDICTION; PRIORITY JOURNAL; RECEPTIVE FIELD; REVIEW; STATISTICAL MODEL; STIMULUS RESPONSE; VISION; VISUAL CORTEX; VISUAL NERVOUS SYSTEM; VISUAL STIMULATION;

ACTION POTENTIALS; ANIMALS; BRAIN; HUMANS; MODELS, NEUROLOGICAL; PHOTIC STIMULATION; RESEARCH DESIGN; VISUAL PATHWAYS; VISUAL PERCEPTION;

EID: 28044448301     PISSN: 10976256     EISSN: None     Source Type: Journal    
DOI: 10.1038/nn1606     Document Type: Review

References (49)

1. Olshausen, B.A. & Field, D.J. How close are we to understanding V1? Neural Comput. 17, 1665-1699 (2005).
2. Lennie, P. & Movshon, J.A. Coding of color and form in the geniculostriate visual pathway. J. Opt. Soc. Am. A 22, 1-21 (2005).
3. Jones, J.P. & Palmer, L.A. The two-dimensional spatial structure of simple receptive fields in cat striate cortex. J. Neurophysiol. 58, 1187-1211 (1987).
4. Ringach, D.L. Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex. J. Neurophysiol. 88, 455-463 (2002).
5. Movshon, J.A., Thompson, I.D. & Tolhurst, D.J. Spatial summation in the receptive fields of simple cells in the cat's striate cortex. J. Physiol. (Lond.) 283, 53-77 (1978).
6. Adelson, E.H. & Bergen, J.R. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. A 2, 284-299 (1985).
7. Spitzer, H. & Hochstein, S. A complex-cell receptive-field model. J. Neurophysiol. 53, 1266-1286 (1985).
8. De Valois, K.K., De Valois, R.L. & Yund, E.W. Responses of striate cortex cells to grating and checkerboard patterns. J. Physiol. (Lond.) 291, 483-505 (1979).
9. Smith, M.A., Bair, W. & Movshon, J.A. Signals in macaque striate cortical neurons that support the perception of glass patterns. J. Neurosci. 22, 8334-8345 (2002).
10. Creutzfeldt, O.D. & Nothdurft, H.C. Representation of complex visual stimuli in the brain. Naturwissenschaften 65, 307-318 (1978).
11. Touryan, J., Lau, B. & Dan, Y. Isolation of relevant visual features from random stimuli for cortical complex cells. J. Neurosci. 22, 10811-10818 (2002).
12. Rust, N.C., Schwartz, O., Movshon, J.A. & Simoncelli, E.P. Spatiotemporal elements of macaque V1 receptive fields. Neuron 46, 945-956 (2005).
13. Shapley, R.M. & Enroth-Cugell, C. Visual adaptation and retinal gain controls. Prog. Retinal Res. 3, 263-346 (1984).
14. Bonds, A.B. Role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex. Vis. Neurosci. 2, 41-55 (1989).
15. Geisler, W.S. & Albrecht, D.G. Cortical neurons: isolation of contrast gain control. Vision Res. 32, 1409-1410 (1992).
16. Heeger, D.J. Normalization of cell responses in cat striate cortex. Vis. Neurosci. 9, 181-197 (1992).
17. Carandini, M., Heeger, D.J. & Movshon, J.A. Linearity and normalization in simple cells of the macaque primary visual cortex. J. Neurosci. 17, 8621-8644 (1997).
18. Bair, W. & Movshon, J.A. Adaptive temporal integration of motion in direction-selective neurons in macaque visual cortex. J. Neurosci. 24, 7305-7323 (2004).
19. Maffei, L., Fiorentini, A. & Bisti, S. Neural correlate of perceptual adaptation to gratings. Science 182, 1036-1038 (1973).
20. Carandini, M., Movshon, J.A. & Ferster, D. Pattern adaptation and cross-orientation interactions in the primary visual cortex. Neuropharmacology 37, 501-511 (1998).
21. Sanchez-Vives, M.V., Nowak, L.G. & McCormick, D.A. Membrane mechanisms underlying contrast adaptation in cat area 17 in vivo. J. Neurosci. 20, 4267-4285 (2000).
22. Movshon, J.A. & Lennie, P. Pattern-selective adaptation in visual cortical neurones. Nature 278, 850-852 (1979).
23. Chance, F.S., Nelson, S.B. & Abbott, L.F. Synaptic depression and the temporal response characteristics of V1 cells. J. Neurosci. 18, 4785-4799 (1998).
24. Muller, J.R., Metha, A.B., Krauskopf, J. & Lennie, P. Rapid adaptation in visual cortex to the structure of images. Science 285, 1405-1408 (1999).
25. Hubel, D.H. & Wiesel, T.N. Receptive fields and functional architecture of monkey striate cortex. J. Physiol. (Lond.) 195, 215-243 (1968).
26. Blakemore, C. & Tobin, E.A. Lateral inhibition between orientation detectors in the cat's visual cortex. Exp. Brain Res. 15, 439-440 (1972).
27. Angelucci, A., Levitt, J.B. & Lund, J.S. Anatomical origins of the classical receptive field and modulatory surround field of single neurons in macaque visual cortical area V1. Prog. Brain Res. 136, 373-388 (2002).
28. Cavanaugh, J.R., Bair, W. & Movshon, J.A. Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons. J. Neurophysiol. 88, 2530-2546 (2002).
29. Sceniak, M.P., Ringach, D.L., Hawken, M.J. & Shapley, R. Contrast's effect on spatial summation by macaque V1 neurons. Nat. Neurosci. 2, 733-739 (1999).
30. 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).
31. Paninski, L., Pillow, J.W. & Simoncelli, E.P. Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput. 16, 2533-2561 (2004).
32. Aguera y Arcas, B., Fairhall, A.L. & Bialek, W. Computation in a single neuron: Hodgkin and Huxley revisited. Neural Comput. 15, 1715-1749 (2003).
33. Simoncelli, E.P., Pillow, J.W., Paninski, L. & Schwartz, O. Characterization of neural responses with stochastic stimuli. in The Cognitive Neurosciences (ed. Gazzaniga, M.) 327-338 (MIT Press, Cambridge, Massachusetts, 2004).
34. Olshausen, B.A. & Field, D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609 (1996).
35. Barlow, H.B. Possible principles underlying the transformations of sensory messages, in Sensory Communication (ed. Rosenblith, W.A.) 217-234 (MIT Press, Cambridge, Massachusetts, 1961).
36. Bell, A.J. & Sejnowski, T.J. The independent components of natural scenes are edge filters. Vision Res. 37, 3327-3338 (1997).
37. van Hateren, J.H. & van der Schaaf, A. Independent component filters of natural images compared with simple cells in primary visual cortex. Proc. Royal Soc. Lond. B Biol. Sci. 265, 359-366 (1998).
38. Schwartz, O. & Simoncelli, E.P. Natural signal statistics and sensory gain control. Nat. Neurosci. 4, 819-825 (2001).
39. Chichilnisky, E.J. A simple white noise analysis of neuronal light responses. Network 12, 199-213 (2001).
40. Theunissen, F.E. et al. Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli. Network 12, 289-316 (2001).
41. David, S.V., Vinje, W.E. & Gallant, J.L. Natural stimulus statistics alter the receptive field structure of V1 neurons. J. Neurosci. 24, 6991-7006 (2004).
42. Touryan, J., Felsen, G. & Dan, Y. Spatial structure of complex cell receptive fields measured with natural images. Neuron 45, 781-791 (2005).
43. Sharpee, T., Rust, N.C. & Bialek, W. Analyzing neural responses to natural signals: maximally informative dimensions. Neural Comput. 16, 223-250 (2004).
44. Smyth, D., Willmore, B., Baker, G.E., Thompson, I.D. & Tolhurst, D.J. The receptive-field organization of simple cells in primary visual cortex of ferrets under natural scene stimulation. J. Neurosci. 23, 4746-4759 (2003).
45. Ringach, D.L., Hawken, M.J. & Shapley, R. Receptive field structure of neurons in monkey primary visual cortex revealed by stimulation with natural image sequences. J. Vis. 2, 12-24 (2002).
46. Prenger, R., Wu, M.C., David, S.V. & Gallant, J.L. Nonlinear V1 responses to natural scenes revealed by neural network analysis. Neural Netw. 17, 663-679 (2004).
47. Felsen, G., Touryan, J., Han, F. & Dan, Y. Cortical sensitivity to visual features in natural scenes. PLoS Biol. 3, e342 (2005).
48. Mante, V., Frazor, R.A., Bonin, V., Geislr, W.S. & Carandini, M. Independence of luminance and contrast in natural scenes and in the early visual system. Nat. Neurosci. 8 1690-1697 (2005).
49. Gross, C.G., Rocha-Miranda, C.E. & Bender, D.B. Visual properties of neurons in inferotemporal cortex of the macaque. J. Neurophysiol. 35, 96-111 (1972).