Blaschke T, Berkes P, Wiskott L. (2006). What is the relation between slow feature analysis and independent component analysis? Neural computation. 18 [PubMed]

Cadieu C et al. (2007). A model of V4 shape selectivity and invariance. Journal of neurophysiology. 98 [PubMed]

Grimes DB, Rao RP. (2005). Bilinear sparse coding for invariant vision. Neural computation. 17 [PubMed]

Karklin Y, Lewicki MS. (2005). A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. Neural computation. 17 [PubMed]

Körding KP, König P. (2001). Supervised and unsupervised learning with two sites of synaptic integration. Journal of computational neuroscience. 11 [PubMed]

Li M, Clark JJ. (2004). A temporal stability approach to position and attention-shift-invariant recognition. Neural computation. 16 [PubMed]

Miao X, Rao RP. (2007). Learning the Lie groups of visual invariance. Neural computation. 19 [PubMed]

Murray JF, Kreutz-Delgado K. (2007). Visual recognition and inference using dynamic overcomplete sparse learning. Neural computation. 19 [PubMed]

Perry G, Rolls ET, Stringer SM. (2006). Spatial vs temporal continuity in view invariant visual object recognition learning. Vision research. 46 [PubMed]

Rolls ET, Stringer SM. (2007). Invariant global motion recognition in the dorsal visual system: a unifying theory. Neural computation. 19 [PubMed]

Schwartz O, Sejnowski TJ, Dayan P. (2006). Soft mixer assignment in a hierarchical generative model of natural scene statistics. Neural computation. 18 [PubMed]

Turner R, Sahani M. (2007). A maximum-likelihood interpretation for slow feature analysis. Neural computation. 19 [PubMed]