Sparse spike coding: Applications of neuroscience to the processing; of natural images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7000, Issue , 2008, Pages

  Perrinet, Laurent U ^a  

^a AIX MARSEILLE UNIVERSITY   (France)

Author keywords

Competition Optimized Matching Pursuit (COMP); Correlation based inhibition; Decorrelation; Neural population coding; Sparse Spike Coding; Spike event computation

Indexed keywords

CODES (STANDARDS); CODES (SYMBOLS); COMPETITION; COMPUTER GRAPHICS; DIGITAL ARITHMETIC; DIGITAL IMAGE STORAGE; IMAGE CODING; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; OPTICAL DATA PROCESSING; OPTIMIZATION; PROGRAMMING THEORY;

BIOLOGICAL VISIONS; CASCADE (CO); CENTRAL NERVOUS SYSTEM (CNS); COMPLEX BACKGROUNDS; DIGITAL IMAGE PROCESSING; INTER-DISCIPLINARY APPROACH; LARGE DATABASES; LATERAL INTERACTIONS; MATCHING PURSUIT (MP); MATCHING PURSUIT (MP) ALGORITHMS; NATURAL IMAGES; OPTICAL (PET) (OPET); OVER-COMPLETE; PRIMARY VISUAL CORTEX (V1); RECONSTRUCTION QUALITY; REDUNDANT INFORMATIONS; SIGNAL MATCHING; SPIKE CODING;

NEUROLOGY;

EID: 47749151165     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.787076     Document Type: Conference Paper

References (26)

1. John von Neumann. Theory of Self-Reproducing Automata. University of Illionois Press, Champain, IL, 1966.
2. John v. von Neumann. The Computer and the Brain Yale University Press, July 2000.
3. Stephen Grossberg. How does the cerebral cortex work? development, learning, attention, and 3-d vision by laminar circuits of visual cortex. Behavioral and Cognitive Neuroscience Reviews, 2(1):47-76, March 2003.
4. Joseph J. Atick. Could Information Theory Provide an Ecological Theory of Sensory Processing? Network: Computation in Neural Systems, 3(2):213-52, 1992.
5. Peter J. Burt and Edward H. Adelson. The Laplacian Pyramid as a compact image code. IEEE Transactions on Communications, COM-31, 4:532-40, 1983.
6. Sylvain Fischer, Rafael Redondo, Laurent U. Perrinet, and Gabriel Cristóbal. Sparse Gabor wavelets by local operations. Proceedings SPIE, volume 5839 of Bioengineered and Bioinspired Systems II, pages 75-86, Jun 2005. doi: 10.1117/12.608403.
7. Stéphane Mallat and Zhifeng Zhang. Matching Pursuit with Time-Frequency Dictionaries. IEEE Transactions on Signal Processing, 41(12):3397-3414, 1993.
8. Laurent U. Perrinet. Feature detection using spikes: the greedy approach. Journal of Physiology (Paris), 98(4-6):530-9, July-November 2004. doi: 10.1016/j.jphysparis.2005.09.012.
9. Laurent U. Perrinet. Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision, volume 142 of The European Physical Journal (Special Topics), chapter Dynamical Neural Networks: modeling low-level vision at short latencies, pages 163-225. Springer Berlin / Heidelberg, mar 2007. doi: 10.1140/epjst/e2007-00061-7. URL http://incm.cnrs-mrs.fr/LaurentPerrinet/Publications/Perrinet06.
10. Laurent U. Perrinet, Manuel Samuelides, and Simon Thorpe. Sparse spike coding in an asynchronous feed-forward multi-layer neural network using Matching Pursuit. Neurocomputing, 57C:125-34, 2002. URL http: //incm.cnrs-mrs.fr/LaurentPerrinet/Publications/Perrinet02sparse. Special issue: New Aspects in Neurocomputing: 10th European Symposium on Artificial Neural Networks 2002 - Edited by T. Villmann.
11. Erkki Oja. A Simplified Neuron Model as a Principal Component Analyzer. Journal of Mathematical biology, 15:267-273, 1982.
12. Y Dan, Joseph J. Atick, and RC Reid. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. Journal of Neuroscience, 16(10):3351-62, May 1996.
13. Laurent U. Perrinet, Manuel Samuelides, and Simon Thorpe. Coding static natural images using spiking event times: do neurons cooperate? IEEE Transactions on Neural Networks, 15(5):1164-75, September 2004. doi: 10.1109/TNN.2004.833303.
14. L. Lapicque. Recherches Quantitatives sur L'Excitation électrique Des Nerfs Traitée Comme Une Polarisation. Journal of Physiology (Paris), 9:620-35, 1907.
15. J.H. van Hateren. Spatiotemporal contrast sensitivity of early vision. Vision Research, 33:257-67, 1993.
16. M.V. Srinivasan, S.B. Laughlin, and A Dubs. Predictive coding: A fresh view of inhibition in the retina. Proc. R. Soc. London Ser.B, 216:427-59, 1982.
17. S. B. Laughlin. A simple coding procedure enhances a neuron's information capacity. Z. Naturforsch., 9-10 (36):910-2, 1981.
18. Toshihiko Hosoya, Stephen A Baccus, and Markus Meister. Dynamic predictive coding by the retina. Nature, 436(7047):71-7, Jul 2005. doi: 10.1038/nature03689. URL http://dx.doi.org/10.1038/nature03689.
19. Laurent U. Perrinet. Apprentissage hebbien d'un reseau de neurones asynchrone a codage par rang. Technical report, Rapport de stage du DEA de Sciences Cognitives, CERT, Toulouse, France, 1999.
20. Laurent U. Perrinet, Arnaud Delorme, Simon Thorpe, and Manuel Samuelides. Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity. Neurocomputing, 38-40(1-4):817-22, 2001.
21. Stefano Panzeri, Alessandro Treves, Simon Schultz, and Edmund T. Rolls. On Decoding the Responses of a Population of Neurons from Short Time Windows. Neural Computation, 11(7):1553-1577, 1999.
22. Rufin van Rullen and Simon J. Thorpe. Rate Coding Versus Temporal Order Coding: What the Retina Ganglion Cells Tell the Visual Cortex. Neural Computation, 13(6):1255-83, 2001.
23. Laurent U. Perrinet. Optimal signal representation in neural spiking codes: A model for the formation of simple cell receptive fields. 2008. URL http://fr.arxiv.org/abs/0706.3177.
24. Sylvain Fischer, Gabriel Cristóbal, and Rafael Redondo. Sparse Overcomplete Gabor Wavelet Representation Based on Local Competitions. IEEE Transactions in Image Processing, 15(2):265, 2006.
25. Sylvain Fischer, Filip Sroubek, Laurent U. Perrinet, Rafael Redondo, and Gabriel Cristóbal. Self-invertible 2D log-Gabor wavelets. Int. Journal of Computional Vision, 2007.
26. Matteo Carandini, J. Heeger, and Anthony Movshon. Linearity and normalization in simple cells of the macaque primary visual cortex. Journal of Neuroscience, 17(21):8621-44, November 1997.