Retinal Prosthesis Dissertation - Student Home Pages

189. Ogmen, H. and M.H. Herzog, The Geometry of Visual Perception:
Retinotopic and Nonretinotopic Representations in the Human Visual System.
Proceedings of the IEEE. 98(3): p. 479-492.
190. Kyuel, T., W. Geisler, and J. Ghosh, Retinally reconstructed images: digital
images having a resolution match with the human eye. Systems, Man and
Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 1999.
29(2): p. 235-243.
191. Tianyi, Y., J. Fengzhe, and W. Jinglong. Central versus peripheral
retinotopic and temporal frequency sensitivities of human visual areas
measured using fMRI. in Mechatronics and Automation, 2009. ICMA 2009.
International Conference on. 2009.
192. Deutsch, S. and A. Deutsch, An Engineering Perspective. Understanding the
Nervous System. 1993.
193. Patton H. Fuchs A. F., Textbook of Physiology: Excitable Cells and
Neurophysiology. 21st ed. Vol. 1. 1989.
194. Chow, A. First trials and future technologies for artificial retinas. in Lasers
and Electro-Optics Society, 2001. LEOS 2001. The 14th Annual Meeting of
the IEEE. 2001.
195. Benav, H., et al. Restoration of useful vision up to letter recognition
capabilities using subretinal microphotodiodes. in Engineering in Medicine
and Biology Society (EMBC), 2010 Annual International Conference of the
IEEE.
196. Zrenner, E., et al., Subretinal electronic chips allow blind patients to read
letters and combine them to words. Proceedings of the Royal Society B:
Biological Sciences, 2012. 278(1711): p. 1489-1497.
197. Uehara, A., et al. System implementation of a CMOS vision chip for visual
recovery. in Sensors and Camera Systems for Scientific, Industrial, and
Digital Photography Applications IV. 2003. Santa Clara, CA, USA: SPIE.
198. Rolando, C.A., J.F. Carmelo, and M.C. Elisa, Neuromorphic model of
magnocellular and parvocellular visual paths: spatial resolution. Journal of
Physics: Conference Series, 2007. 90(1): p. 012099.
199. Croner, L.J. and E. Kaplan, Receptive fields of P and M ganglion cells across
the primate retina. Vision Research, 1995. 35(1): p. 7-24.
200. Mead, C., Neuromorphic electronic systems. Proceedings of the IEEE, 1990.
78(10): p. 1629-1636.
201. Mahowald, M., VLSI analogs of neuronal visual processing : a synthesis of
form and function. 1992, California Institute of Technology, Computer
Science Dept.: Pasadena, Calif.
202. Chen, J.S., A. Huertas, and G. Medioni, Fast Convolution with Laplacian-of-
Gaussian Masks. Pattern Analysis and Machine Intelligence, IEEE
Transactions on, 1987. PAMI-9(4): p. 584-590.
203. Young, R.A., The Gaussian derivative model for spatial vision: I. Retinal
mechanisms. Spatial Vision, 1987. 2(4): p. 273-293.
204. Zukal, M., P. Cika, and R. Burget. Evaluation of interest point detectors for
scenes with changing lightening conditions. in Telecommunications and
Signal Processing (TSP), 2011 34th International Conference on.
205. Rodriguez-Vazquez, A., et al., ACE16k: the third generation of mixed-signal
SIMD-CNN ACE chips toward VSoCs. IEEE Transactions on Circuits and
Systems I: Regular Papers,, 2004. 51(5): p. 851-863.
131 of 200