202
Views
0
CrossRef citations to date
0
Altmetric
Original

Monte Carlo methods for localization of cones given multielectrode retinal ganglion cell recordings

, , , , , & show all
Pages 27-51 | Received 17 Aug 2012, Accepted 11 Oct 2012, Published online: 29 Nov 2012

References

  • Atchadé Y, Liu J. The wang-landau algorithm in general state spaces: Applications and convergence analysis. Statistica Sinica 2010; 20(1)209
  • Casella G, Berger R. Statistical Inference. Duxbury Press, Pacific Grove, CA 2001
  • Chichilnisky E. A simple white noise analysis of neuronal light responses. Network: Computation in Neural Systems 2001; 12: 199–213
  • Chichilnisky E, Baylor D. Receptive-field microstructure of blue-yellow ganglion cells in primate retina. Nature Neuroscience 1999; 2: 889–893
  • Chichilnisky E, Kalmar R. Functional asymmetries in on and off ganglion cells of primate retina. J Neurosci 2002; 22(7)2737–2747
  • Diaconis P, Freedman D. Asymptotics of graphical projection pursuit. Annals of Statistics 1984; 12: 793–815
  • Earl D, Deem M. Parallel tempering: Theory, applications, and new perspectives. Physical Chemistry Chemical Physics 2005; 7(23)3910–3916
  • Field G, Gauthier J, Sher A, Greschner M, Machado T, Jepson L, Shlens J, Gunning D, Mathieson K, Dabrowski W, et al. Functional connectivity in the retina at the resolution of photoreceptors. Nature, 2010; 467(7316)673–677, 10.1038/nature09424
  • Frechette E, Sher A, Grivich M, Petrusca D, Litke A, Chichilnisky E. Fidelity of the ensemble code for visual motion in the primate retina. J Neurophysiol, 2005; 94(1)119–135
  • Gauthier JL, Field GD, Sher A, Greschner M, Shlens J, Litke A M, Chichilnisky EJ. Receptive fields in primate retina are coordinated to sample visual space more uniformly. PLoS Biol 2009; 7(4)e1000063
  • Keat J, Reinagel P, Reid R, Meister M. Predicting every spike: a model for the responses of visual neurons. Neuron 2001; 30: 803–817
  • Lidl R, Pilz G. Applied Abstract Algebra. Springer, New York, NY 1997
  • Litke A, Bezayiff N, Chichilnisky E, Cunningham W, Dabrowski W, Grillo A, Grivich M, Grybos P, Hottowy P, Kachiguine S, et al. What does the eye tell the brain?: Development of a system for the large scale recording of retinal output activity. IEEE Transactions on Nuclear Science 2003; 51(4)1434–1440
  • Marinari E, Parisi G. Simulated tempering: A new monte carlo scheme. EPL (Europhysics Letters) 1992; 19: 451
  • Paninski L. Convergence properties of some spike-triggered analysis techniques. Network: Computation in Neural Systems 2003; 14: 437–464
  • Paninski L. Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems 2004; 15: 243–262
  • Paninski L, Pillow J, Simoncelli E. Maximum likelihood estimation of a stochastic integrate-and-fire neural model. Neural Computation 2004; 16: 2533–2561
  • Park I, Pillow J. Bayesian spike-triggered covariance analysis. Advances in Neural Information Processing Systems 2011; 24: 1692–1700
  • Pillow J, Paninski L, Uzzell V, Simoncelli E, Chichilnisky E. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. Journal of Neuroscience 2005; 25: 11003–11013
  • Pillow JW, Shlens J, Paninski L, Sher A, Litke A M, Chichilnisky EJ, Simoncelli EP. Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 2008; 454(7207)995–999
  • Ramirez A, Paninski L, 2012. Fast inference in generalized linear models via expected log-likelihoods. Under review
  • Robert C, Casella G. Monte Carlo Statistical Methods. Springer, New York, NY 2005
  • Roy B. Transitivité et connexité. C. R. Acad. Sci. Paris 1959; 249: 216–218
  • Salakhutdinov R, 2010. Learning deep Boltzmann machines using adaptive MCMC. In Proceedings of the International Conference on Machine Learning, volume 27
  • Segev R, Goodhouse J, Puchalla J, Berry M. Recording spikes from a large fraction of the ganglion cells in a retinal patch. Nature Neuroscience 2004; 7: 1154–1161
  • Wang F, Landau D. Efficient, multiple-range random walk algorithm to calculate the density of states. Physical Review Letters 2001; 86(10)2050–2053
  • Warshall S. A Theorem on Boolean Matrices. J. ACM 1962; 9: 11–12

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.