E. D. Adrian, The impulses produced by sensory nerve endings, The Journal of Physiology, vol.61, issue.1, pp.49-72, 1926.
DOI : 10.1113/jphysiol.1926.sp002273

M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, Image coding using wavelet transform, IEEE Transactions on Image Processing, vol.1, issue.2, 1992.
DOI : 10.1109/83.136597
URL : https://hal.archives-ouvertes.fr/hal-01322224

E. N. Brown, R. E. Kass, and P. P. Mitra, Multiple neural spike train data analysis: state-of-the-art and future challenges, Nature Neuroscience, vol.7, issue.5, pp.456-461, 2004.
DOI : 10.1038/nn1228

P. Burt and E. Adelson, The Laplacian Pyramid as a Compact Image Code, IEEE Transactions on Communications, vol.31, issue.4, pp.532-540, 1983.
DOI : 10.1109/TCOM.1983.1095851

C. Christopoulos, A. Skodras, and T. Ebrahimi, The JPEG 2000 still image coding system: An overview, IEEE Transactions on Consumer Electronics, vol.16, issue.4, pp.1103-1127, 2000.

A. B. Clark, Electrical picture-transmitting system. US Patent assigned to AT& T, 1928.

C. E. Connor, S. L. Brincat, and A. Pasupathy, Transformation of shape information in the ventral pathway, Current Opinion in Neurobiology, vol.17, issue.2, pp.140-147, 2007.
DOI : 10.1016/j.conb.2007.03.002

J. L. Crowley and R. M. Stern, Fast Computation of the Difference of Low-Pass Transform, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.2, pp.212-222, 2009.
DOI : 10.1109/TPAMI.1984.4767504

R. R. De-ruyter-van-steveninck, G. D. Lewen, S. P. Strong, R. Koberle, and W. Bialek, Reproducibility and Variability in Neural Spike Trains, Science, vol.275, issue.5307, p.2751805, 1997.
DOI : 10.1126/science.275.5307.1805

D. J. Field, What Is the Goal of Sensory Coding?, Neural Computation, vol.21, issue.4, pp.559-601, 1994.
DOI : 10.1162/neco.1989.1.1.68

T. Gollisch and M. Meister, Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina, Neuron, vol.65, issue.2, pp.150-164, 2010.
DOI : 10.1016/j.neuron.2009.12.009

I. Katsavounidis, C. C. , and J. Kuo, A multiscale error diffusion technique for digital halftoning, IEEE Transactions on Image Processing, vol.6, issue.3, pp.483-490, 1997.
DOI : 10.1109/83.557360

C. K. Kier, G. Buchsbaum, and P. Sterling, How retinal microcircuits scale for ganglion cells of different size, The Journal of Neuroscience, vol.15, issue.11, pp.7673-7683, 1995.

K. Masmoudi, M. Antonini, and P. Kornprobst, Another look at the retina as an image dithered scalar quantizer, International Workshop on Image Analysis for Multimedia Interactive Services, pp.1-4, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00481337

K. Masmoudi, M. Antonini, and P. Kornprobst, Another look at the retina as an image scalar quantizer, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.3076-3079, 2010.
DOI : 10.1109/ISCAS.2010.5537983
URL : https://hal.archives-ouvertes.fr/hal-00481328

K. Masmoudi, M. Antonini, and P. Kornprobst, Encoding and decoding stimuli using a biologically realistic model: The non-determinism in spike timings seen as a dither signal, Proceedings of Research in Encoding And Decoding of Neural Ensembles, p.75, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00481959

K. Masmoudi, M. Antonini, and P. Kornprobst, A Bio-Inspired Image Coder with Temporal Scalability, Advanced Concepts for Intelligent Vision Systems, pp.447-458, 2011.
DOI : 10.1007/978-3-642-23687-7_41

K. Masmoudi, M. Antonini, and P. Kornprobst, Frames for Exact Inversion of the Rank Order Coder, IEEE Transactions on Neural Networks, 2012.
DOI : 10.1109/TNNLS.2011.2179557
URL : https://hal.archives-ouvertes.fr/hal-00845591

K. Masmoudi, M. Antonini, P. Kornprobst, and L. Perrinet, A novel bio-inspired static image compression scheme for noisy data transmission over low-bandwidth channels, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3506-3509, 2010.
DOI : 10.1109/ICASSP.2010.5495949
URL : https://hal.archives-ouvertes.fr/hal-00481348

S. Panzeri, R. S. Petersen, S. R. Schultz, M. Lebedev, and M. E. Diamond, The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex, Neuron, vol.29, issue.3, pp.769-777, 2001.
DOI : 10.1016/S0896-6273(01)00251-3

D. Perkell and T. Bullock, Neural coding, Neurosciences Research Program Bulletin, vol.6, pp.221-343, 1968.

L. Perrinet, M. Samuelides, and S. Thorpe, Coding Static Natural Images Using Spiking Event Times: Do Neurons Cooperate?, IEEE Transactions on Neural Networks, vol.15, issue.5, pp.1164-1175, 2004.
DOI : 10.1109/TNN.2004.833303
URL : https://hal.archives-ouvertes.fr/hal-00110803

F. Rieke, D. Warland, R. De-ruyter-van-steveninck, and W. Bialek, Spikes: Exploring the Neural Code, 1997.

R. W. Rodieck, Quantitative analysis of cat retinal ganglion cell response to visual stimuli, Vision Research, vol.5, issue.12, pp.583-601, 1965.
DOI : 10.1016/0042-6989(65)90033-7

M. N. Shadlen and W. T. Newsome, Noise, neural codes and cortical organization. Findings and Current Opinion Cognitive Neuroscience, pp.569-79, 1998.
DOI : 10.1016/0959-4388(94)90059-0

P. Sterling, E. Cohen, R. G. Smith, and Y. Tsukamoto, Retinal circuits for daylight: why ballplayers don't wear shades. Analysis and Modeling of Neural Systems, pp.143-162, 1992.
DOI : 10.1007/978-1-4615-4010-6_15

D. Taubman, High performance scalable image compression with EBCOT, IEEE Transactions on Image Processing, vol.9, issue.7, pp.1158-1170, 2000.
DOI : 10.1109/83.847830
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.320.6121

R. Van-rullen and S. Thorpe, Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex, Neural Computation, vol.78, issue.6, pp.1255-1283, 2001.
DOI : 10.1016/0042-6989(96)00098-3

M. Vidne, Y. Ahmadian, J. Shlens, J. W. Pillow, J. Kulkarni et al., Modeling the impact of common noise inputs on the network activity of retinal ganglion cells, Journal of Computational Neuroscience, vol.79, issue.4, 2012.
DOI : 10.1007/s10827-011-0376-2

C. Wang, C. Liu, and T. Chiang, Perceptual dithering for octave subband image coding, Journal of Visual Communication and Image Representation, vol.15, issue.2, pp.163-184600, 2004.
DOI : 10.1016/j.jvcir.2003.07.003

R. A. Wannamaker, Subtractive and nonsubtractive dithering: A mathematical comparison, J. Audio Eng. Soc, vol.52, issue.12, pp.1211-1227, 2004.

R. A. Wannamaker, S. P. Lipshitz, J. Vanderkooy, and J. N. Wright, A theory of nonsubtractive dither, IEEE Transactions on Signal Processing, vol.48, issue.2, pp.499-516, 2000.
DOI : 10.1109/78.823976

W. Gerstner and W. Kistler, Spiking Neuron Models : Single Neurons, Populations, Plasticity, 2002.
DOI : 10.1017/CBO9780511815706

A. Wohrer, Model and large-scale simulator of a biological retina, with contrast gain control, 2008.

A. Wohrer and P. Kornprobst, Virtual Retina: A biological retina model and simulator, with contrast gain control, Journal of Computational Neuroscience, vol.32, issue.3, pp.219-249, 2009.
DOI : 10.1007/s10827-008-0108-4
URL : https://hal.archives-ouvertes.fr/inria-00160716

A. Wohrer, P. Kornprobst, and M. Antonini, Retinal filtering and image reconstruction, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00394547

Y. Zhang, A. Ghodrati, and D. H. Brooks, An analytical comparison of three spatio-temporal regularization methods for dynamic linear inverse problems in a common statistical framework, Inverse Problems, vol.21, issue.1, p.357, 2005.
DOI : 10.1088/0266-5611/21/1/022