Extended surround based neuromorphically implementable model of human visual system

Proceedings - 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05

Volumn 2005, Issue , 2005, Pages 458-462

  Sarkar, Sandip ^a   Ghosh, Kuntal ^a   Bhaumik, Kamales ^a  

^a Sato Institute of Nuclear Physics   (India)

Author keywords

Human visual system; Neuromorphic engineering; Resitive network; Retina

Indexed keywords

HUMAN VISUAL SYSTEM; NEUROMORPHIC ENGINEERING; RESITIVE NETWORK; RETINA;

CELL CULTURE; HUMAN COMPUTER INTERACTION; IMAGE ANALYSIS; MATHEMATICAL MODELS;

NEUROPHYSIOLOGY;

EID: 33750148444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISIP.2005.1529498     Document Type: Conference Paper

References (24)

1. Mead, C. A. and Mahowald, M. A. "A silicon model of early visual processing", Neural Networks, vol. 1, pp. 91-97, 1988.
2. Mead, C. A. and Mahowald, M. A. " Silicon retina", Analog VLSI and Neural Systems, Mead, C. AAddison-Wesley, 1989, pp. 257-278.
3. Park, D., Kim, J., Kim, H., Park, J, Shin, J. and Lee, M. "A foveated-structure CMOS retina chip for edge detection with local light adaptation", Sensors and Actuators A Physical, vol. 108, pp. 75-80, 2003.
4. Bair, W. and Koch, C., "An analog VLSI chip for finding edges from zero-crossings", Neural Information Processing Systems, vol. 3, pp. 399-405, 1991.
5. Mead Carver "Neuromorphic electronic systems", Proceedings of the IEEE. vol.78(10) , pp. 1639-1636, 1990
6. rd Ed.
7. Mead, Carver " Appendix C", Analog VLSI and Neural Systems, Addison-Wesley, 1989, pp. 339-340.
8. Hochstein S. and Shapley R. M."Linear and nonlinear spatial subunits in Y cat retinal ganglion cells" Journal of Physiology(London), vol. 262, pp. 265-284, 1976.
9. Ikeda, H. and Wright H. J. " Functional organization of the periphery effect in retinal ganglion cells" Vision Research, vol. 12, pp. 1857-1879, 1972.
10. Benardete, E.A. and Kaplan, E. "The dynamics of primate M retinal ganglion cells". Visual Neuroscience, vol. 16, pp. 355-368, 1999.
11. Enroth-Cugell, C.and Jakiela, H.G. "Suppression of cat retinal ganglion cell responses by moving patterns". Journal of Physiology(London) vol. 302, pp. 49-72, 1980.
12. Kruger J. "The shift-effect enhances X- and suppresses Y-type response characteristics of cat retinal ganglion cells". Brain Research vol 201, pp. 71-84, 1980
13. Passaglia, C.L., Enroth-Cugell, C. and Troy, J. B. "Effects of remote stimulation on the mean firing rate of cat retinal ganglion cells", Journal of Neuroscience, vol. 21 (15), pp. 5794-5803, 2001.
14. Ma, S. D. and Li, B. "Derivative Computation by Multiscale filters", Image and Vision Computing, vol. 16pp. 43-53, 1998.
15. Shen, J. and Castan, S. " An optimal linear operator for step edge detection" CVGIP: Graphical Model and Image Processing, vol 54(2)pp.112-133, 1992.
16. Marr, D., Poggio, T. and Hildretli, E. "Smallest channel in early human vision", Journal of Optical Society of America, vol, 70(7), July 1980.
17. Sun, C., Chen, X., Huang L. and Shou T. "Orientation bias of the extra-classical receptive field of the relay cells in cat's dorsal lateral geniculate nucleus" , Neuroscience, vol.125, pp. 495-505, 2004.
18. Hochstein, S. and Spitzer, H. "Zero-crossing detectoes in primary visual cortex?" Biological Cybermatics, vol. 51(3), pp.195-199, 1984.
19. Richter, J. and Ullman, S. "Non-linearities in cortical simple cells and possible detection of zerocrossings" Biological Cybernatics, vol.53(3), pp. 195-202, 1986
20. Young, R. A. " The gaussian derivative model for vision: I. Retinal mechanisms'", Spatial Vision, vol. 2(4), pp. 273-293, 1987.
21. Koenderink, J. J. "Operational significance of receptive field assemblies" , Biological Cybermatics, vol.58, pp.163-171, 1988.
22. Mach, E., "On the influence of spatially and temporally varying light stimuli on visual perception", Mach Bands: Quantitative studies on neural network in the retina, F. Ratliff(Ed.). Holden-Day, San Francisco, 1965, pp. 321-332, 1906.
23. Bracewell, R. , The Fourier Transform and Its Applications , New York: McGraw-Hill, 1965.
24. Basu, M. and Min, S. " Image smoothing with exponential filters", International Journal of Pattern Recognition and Artificial Intelligence, vol. 15(4), pp. 735-752, 2001.