A filter based encoding model for mouse retinal ganglion cells

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 2087-2090

  Zhong, Q ^a   Boykin, P O ^b   Jacobs, A ^c   Roychowdhury, V P ^a   Nirenberg, S ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; NEUROLOGY; OPTIMIZATION; PROSTHETICS; WAVE FILTERS;

ENCODING MODEL; FIRING RATES; MAXIMUM-LIKELIHOOD BAYESIAN PREDICTOR; RETINAL PROSTHETICS;

CELLS;

EID: 33846895998     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1616870     Document Type: Conference Paper

References (13)

1. M. Meister, J. Pine, and D.A. Baylor, "Multi-neuronal signals from the retina: acquisition and analysis," J. Neurosci. Methods., vol. 51, pp. 95-106, 1994.
2. C.E. Shannon and W. Weaver, The Mathematical Theory of Communication. Illinois: Univ. Illinois Press, 1949.
3. T.M. Cover and J.A. Thomas, Elements of Information Theory, Wiley, New York, 1991.
4. F. Rieke, D. Warland, R.R. Steveninck, and W. Bialek, Spikes:Exploring the Neural Code. Cambridge, MA: MIT press, 1997.
5. M. Meister and M.J. Berry, "The neural code of the retina," Neuron, vol. 22, pp. 435-450, 1999.
6. D.K. Warland, P. Reinagel, and M. Meister, "Decoding visual information from a population of retinal ganglion cells," J. Neurophsiol., vol. 78(5), pp. 2336-2350, 1997.
7. J. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor: The university of Michigan press, 1975.
8. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley Publishing Company, 1989.
9. A.J. Chipperfield, P.J. Fleming, and C.M. Fonseca, "Genetic algorithm tools for control systems engineering," Plymouth Engineering Design Centre, September 1994, pp. 128-133, presented at Adaptive Computing in Engineering Design and Control.
10. A.J. Chipperfield and P.J. Fleming, "The MATLAB genetic algorithm toolbox," January 1995, from IEE Colloquium on Applied Control Techniques Using MATLAB, Digest NO. 1995/014.
11. N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, "Equation of state calculations by fast computing machines," J. Chem. Phys., vol. 21(6), pp. 1087-1092, 1953.
12. S. Kirkpatrick and C.D. Gelatt and M.P. Vecchi, "Optimization by simulated annealing," Science, vol. 220,4598, pp. 671-680, 1983.
13. J.H. Ward, "Hierarchical grouping to optimize an objective function," J. Am. Stat. Assoc., vol. 58, pp. 236-244, 1963.