Amari S, Nagaoka H. (2000). Methods of information geometry.

See more from authors: Amari S · Nagaoka H

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

Amari S. (2007). Integration of stochastic models by minimizing alpha-divergence. Neural computation. 19 [PubMed]

Amari S, Nakahara H. (2005). Difficulty of singularity in population coding. Neural computation. 17 [PubMed]

Amari S, Nakahara H. (2006). Correlation and independence in the neural code. Neural computation. 18 [PubMed]

Amari S, Park H, Ozeki T. (2006). Singularities affect dynamics of learning in neuromanifolds. Neural computation. 18 [PubMed]

Ikeda K. (2005). Information geometry of interspike intervals in spiking neurons. Neural computation. 17 [PubMed]

Ikeda S, Tanaka T, Amari S. (2004). Stochastic reasoning, free energy, and information geometry. Neural computation. 16 [PubMed]

Kanamori T, Takenouchi T, Eguchi S, Murata N. (2007). Robust loss functions for boosting. Neural computation. 19 [PubMed]

Murata N, Takenouchi T, Kanamori T, Eguchi S. (2004). Information geometry of U-Boost and Bregman divergence. Neural computation. 16 [PubMed]

Nakahara H, Amari S, Richmond BJ. (2006). A comparison of descriptive models of a single spike train by information-geometric measure. Neural computation. 18 [PubMed]

Oliva D, Samengo I, Leutgeb S, Mizumori S. (2005). A subjective distance between stimuli: quantifying the metric structure of representations. Neural computation. 17 [PubMed]

Tatsuno M, Okada M. (2004). Investigation of possible neural architectures underlying information-geometric measures. Neural computation. 16 [PubMed]

Zhang J. (2004). Divergence function, duality, and convex analysis. Neural computation. 16 [PubMed]

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