Rieke F, Bodnar DA, Bialek W. (1995). Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents. Proceedings. Biological sciences. 262 [PubMed]

See more from authors: Rieke F · Bodnar DA · Bialek W

References and models cited by this paper
References and models that cite this paper

Edin F, Machens CK, Schütze H, Herz AV. (2004). Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments. Journal of computational neuroscience. 17 [PubMed]

Eger M, Eckhorn R. (2002). A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems. Journal of computational neuroscience. 12 [PubMed]

Johnson DH, Gruner CM, Baggerly K, Seshagiri C. (2001). Information-theoretic analysis of neural coding. Journal of computational neuroscience. 10 [PubMed]

Köndgen H et al. (2008). The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]

Leon PS, Vanzetta I, Masson GS, Perrinet LU. (2012). Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of neurophysiology. 107 [PubMed]

Sharpee T, Rust NC, Bialek W. (2004). Analyzing neural responses to natural signals: maximally informative dimensions. Neural computation. 16 [PubMed]

Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ. (2007). Estimating information rates with confidence intervals in neural spike trains. Neural computation. 19 [PubMed]

Singh C, Levy WB. (2017). A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PloS one. 12 [PubMed]

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