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References
Anthony J. Bell and Terrence J. Sejnowski. "Learning the higher order structure of a natural sound." Network: Computation in Neural Systems. 7:261-267. 1996.
Anthony J. Bell and Terrence J. Sejnowski. "The 'Independent Components' of Natural Scenes are Edge Filters." Vision Research. 37(23):3327-3338. 1997.
Eugene Charniak. "Bayesian Networks without Tears." AI Magazine. 12(4): Winter 1991. 50-63.
Conolty et al.. "High Gamma Power is Phase-Locked to Theta Oscillations in Human Cortex." Science. 315:1626-1628. September 2006.
David, Vinje and Gallant. "Natural stimulus statistics alter the receptive field structure of V1 neurons." Neuroscience. 24(31):6991-7006. August 2004.
P. Dayan and L.F. Abbott. "Theoretical Neuroscience." MIT Press. Cambridge, MA. 2001.
Thomas Dean. "Learning Invariant Features Using Inertial Priors." To appear in Annals of Mathematics and Artificial Intelligence, Winter 2006.
P. Foldiak. "Learning invariance from transformation sequences." Neural Computation. 3. 194-200. 1991.
Stuart Geman. "Invariance and Selectivity in the Ventral Visual Pathway." Journal of Physiology, Paris (in press).
Sergei Gepshtein and Michael Kubovy. "The emergence of visual objects in space-time." Proceedings of the National Academy of Science. 97(14). 8186-8191. 2001.
Gray and Singer. "Stimulus-specific neuronal oscillations in orientation columns of cat." PNAS. 86:1698-1702. 1989.
Jeff Hawkins and Dileep George. "Hierarchical Temporal Memory: Concepts, Theory and Terminology." 2006.
David H. Hubel. "Eye, Brain and Vision (Scientific American Library, Number 22)." W. H. Freeman and Company. New York. 1995.
L. Itti and P. Baldi. "Bayesian Surprise Attracts Human Attention." Advances in Neural Information Processing Systems. Vol 19. 1-8. MIT Press. Cambridge, MA. 2006.
Johnson and Olshausen. "Timecourse of neural signatures of object recognition." Journal of Vision. 3: 499-512. 2003.
Tai Sing Lee and David Mumford. "Hierarchical Bayesian Inference in the Visual Cortex." Journal of the Optical Society of America. 2(7). 1434-1448. July, 2003. [LeeandMumfordJOSA-03.pdf]
Kevin Murphy. "A Brief Introduction to Graphical Models and Bayesian Networks." 1998.
Kevin Murphy. "How to use the Bayes Net Toolbox." 2004.
Murray, Boyaci and Kersten. "The representation of perceived angular size in human visual cortex." Nature Neuroscience. 9(3):429-434. 2006.
B. Olshausen, C. Anderson, and D. Van Essen. "A Neurobiological Model of Visual Attention and Invariant Pattern Recognition Based on Dynamic Routing of Information." The Journal of Neuroscience. 13(11). 4700-4719.
Olshausen and Field. "How close are we to understanding V1?" Neural Computation. 17:1665-1699. 2005.
B.A. Olshausen and D.J. Field. "Natural image statistics and efficient coding." Network. 7. 333-339. 1996.
B.A. Olshausen and D.J. Field. "What is the other 85% of V1 doing?." Problems in Systems Neuroscience. Eds.: T.J. Sejnowski and L. van Hemmen. Oxford University Press. 2004.
M. Riesenhuber and T. Poggio. "Hierarchical models of object recognition in cortex." Nature Neuroscience. 2(11). 1019-1025. November, 1999.
Serre, Wolf and Poggio. "Object recognition with features inspired by visual cortex." CVPR. August 2005. Also in press for PAMI.
S. Soloviev. "Shift-invariant recognition by the conjunction of basic invariant patterns." 1997. [Master's thesis, The Weizmann Institute of Science]
Garrett Stanley, Fei F. Li and Yang Dan. "Reconstruction of Natural Scenes from Ensemble Responses in the Lateral Geniculate Nucleus."
S. Ullman and S. Soloviev. "Computation of pattern invariance in brain-like structures." Neural Networks. 12. 1021-1036. 1999.
Laurenz Wiskott. "How Does Our Visual System Achieve Shift and Size Invariance?." Oxford University Press. 2003.
Laurenz Wiskott and Terrence Sejnowski. "Slow Feature Analysis: Unsupervised Learning of Invariances." Neural Computation. 14(4). 715-770. 2002.
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