Ernst U, Rotermund D, Pawelzik K. (2007). Efficient computation based on stochastic spikes. Neural computation. 19 [PubMed]

See more from authors: Ernst U · Rotermund D · Pawelzik K

References and models cited by this paper

Barlow H. (1960). The coding of sensory messages.

Bell AJ, Sejnowski TJ. (1997). The "independent components" of natural scenes are edge filters. Vision research. 37 [PubMed]

Berry MJ, Warland DK, Meister M. (1997). The structure and precision of retinal spike trains. Proceedings of the National Academy of Sciences of the United States of America. 94 [PubMed]

Bertsekas D. (1995). Non-linear programming.

Bethge M, Rotermund D, Pawelzik K. (2003). Optimal neural rate coding leads to bimodal firing rate distributions. Network (Bristol, England). 14 [PubMed]

Bethge M, Rotermund D, Pawelzik K. (2003). Second order phase transition in neural rate coding: binary encoding is optimal for rapid signal transmission. Physical review letters. 90 [PubMed]

Carandini M, Heeger DJ. (1994). Summation and division by neurons in primate visual cortex. Science (New York, N.Y.). 264 [PubMed]

Chance FS, Abbott LF, Reyes AD. (2002). Gain modulation from background synaptic input. Neuron. 35 [PubMed]

Deneve S. (2004). Bayesian inference in spiking neurons Advances in neural information processing systems. 17

Deneve S, Latham PE, Pouget A. (2001). Efficient computation and cue integration with noisy population codes. Nature neuroscience. 4 [PubMed]

Ernst MO, Banks MS. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature. 415 [PubMed]

Fourcaud N, Brunel N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural computation. 14 [PubMed]

Heeger DJ. (1992). Normalization of cell responses in cat striate cortex. Visual neuroscience. 9 [PubMed]

Herzog MH, Fahle M. (2002). Effects of grouping in contextual modulation. Nature. 415 [PubMed]

Hoyer PO. (2004). Non-negative matrix factorization with sparseness constraints J Mach Learn Res. 5

Hyvarinen A, Hoyer PO. (2004). Interpreting neural response variability as Monte Carlo sampling of the posterior Advances in neural information processing systems. 15

Kistler WM, Gerstner W. (2002). Spiking neuron models.

Koechlin E, Anton JL, Burnod Y. (1999). Bayesian inference in populations of cortical neurons: a model of motion integration and segmentation in area MT. Biological cybernetics. 80 [PubMed]

Körding KP, Wolpert DM. (2004). Bayesian integration in sensorimotor learning. Nature. 427 [PubMed]

Lanteri H, Roche M, Aime C. (2002). Penalized maximum likelihood image restoration with positivity constraints: Multiplicative algorithms Inverse Problems. 18

Lee DD, Seung HS. (1999). Learning the parts of objects by non-negative matrix factorization. Nature. 401 [PubMed]

Lee TS, Mumford D. (2003). Hierarchical Bayesian inference in the visual cortex. Journal of the Optical Society of America. A, Optics, image science, and vision. 20 [PubMed]

Levy WB, Baxter RA. (1996). Energy efficient neural codes. Neural computation. 8 [PubMed]

Lucy L. (1974). An iterative technique for the rectification of observed distributions Astron. 74

Mandon S, Kreiter AK. (2005). Rapid contour integration in macaque monkeys. Vision research. 45 [PubMed]

Mumford D. (2002). Pattern theory: The mathematics of perception International Congress of Mathematicians. 3

Olshausen BA, Field DJ. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature. 381 [PubMed]

Panzeri S, Treves A, Schultz S, Rolls ET. (1999). On decoding the responses of a population of neurons from short time windows. Neural computation. 11 [PubMed]

Perrinet L, Samuelides M, Thorpe S. (2004). Coding static natural images using spiking event times: do neurons cooperate? IEEE transactions on neural networks. 15 [PubMed]

Rao RP. (2004). Bayesian computation in recurrent neural circuits. Neural computation. 16 [PubMed]

Richardson W. (1972). Bayesian-based iterative method of image restoration J Opt Soc Am. 62

Seung HS, Lee DD. (2000). Algorithms for non-negative matrix factorization Advances in neural information processing systems. 13

Shadlen MN, Newsome WT. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Silberberg G, Bethge M, Markram H, Pawelzik K, Tsodyks M. (2004). Dynamics of population rate codes in ensembles of neocortical neurons. Journal of neurophysiology. 91 [PubMed]

Skottun BC, Bradley A, Sclar G, Ohzawa I, Freeman RD. (1987). The effects of contrast on visual orientation and spatial frequency discrimination: a comparison of single cells and behavior. Journal of neurophysiology. 57 [PubMed]

Thorpe S, Delorme A, Van Rullen R. (2001). Spike-based strategies for rapid processing. Neural networks : the official journal of the International Neural Network Society. 14 [PubMed]

Thorpe S, Fize D, Marlot C. (1996). Speed of processing in the human visual system. Nature. 381 [PubMed]

Thorpe SJ, Delorme A. (2003). Face identification using one spike per neuron: resistance to image degradations. Neural Netw. 14

Van Rullen R, Thorpe SJ. (2001). Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex. Neural computation. 13 [PubMed]

Wilson HR, Cowan JD. (1972). Excitatory and inhibitory interactions in localized populations of model neurons. Biophysical journal. 12 [PubMed]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.