1. P. S. Churchland and T. J. Sejnowski. The Computational Brain. MIT Press, 1992.
   Keywords: brain, perception, artificial intelligence. [Abstract] [bibtex-entry]



2. D. Marr. Vision: a computational investigation into the human representation and processing of visual information. W. H. Freeman, San Francisco, 1982.
   Keywords: vision, artificial intelligence. [bibtex-entry]

1. Ohad Ben-Shahar and Steven W. Zucker. Geometrical Computations Explain Projection Patterns of Long Range Horizontal Connections in Visual Cortex. Neural Computation, 16(3):445-476,, 2004.
   Keywords: vision, neuroscience, geometry. [Abstract] [Comments] [bibtex-entry]



2. Emmanuel Guigon. Interpolation and extrapolation in human behavior.. Journal of Cognitive Neuroscience, 16(3), 2004.
   Keywords: motor control, sensorimotor. [Abstract] [Comments] [bibtex-entry]



3. Damien Woods and Thomas J. Naughton. An optical model of computation. Theoretical Computer Science, x(x):xx, 2004.
   Keywords: computation, light. [Abstract] [Comments] [bibtex-entry]



4. Tai Sing Lee. Computations in the early visual cortex. Journal of Physiology, 2003.
   Keywords: neuroscience, vision. [Abstract] [Comments] [bibtex-entry]



5. Alexandre Pouget, Sophie Deneve, and Jean-René Duhamel. A computational perspective on the neural basis of multisensory spatial representation. Nature reviews, Neuroscience, 3:741-474, 2002.
   Keywords: neuroscience, space, basis functions. [Abstract] [bibtex-entry]



6. Laurence T. Maloney. Illuminant cues in surface color perception: tests of three candidate cues. Vision Research, 41:2581-2600, 2001.
   Keywords: color constancy, color, perception. [Abstract] [Comments] [bibtex-entry]



7. Christof Koch and Idan Segev. The role of single neurons in information processing. Nature Neuroscience, 3:1171-1177, 2000.
   Keywords: neuroscience, information theory. [Abstract] [Comments] [bibtex-entry]



8. Mitsuo Kawato. Internal models for motor control and trajectory planning. Current Opinion in Neurobiology, 9:718-727, 1999.
   Keywords: neuroscience, motor control, internal models. [Abstract] [Comments] [bibtex-entry]



9. D. D. Lee and H. S. Seung. Learning the Parts of Objects by Non-negative Matrix Factorization. Nature, 401:788, october 1999.
   Keywords: mathematics, ingeneering, artificial vision, decomposition. [Abstract] [Comments] [bibtex-entry]



10. Duncan J. Watts and Steven H. Strogatz. Collective dynamics of small-world networks. Nature, 393:440-442, 1998.
    Keywords: information theory, networks, graphs. [Abstract] [Comments] [bibtex-entry]



11. Shimon Edelman and Nathan Intrator. Learning as extraction of low-dimensional representations. november 1997.
    Keywords: dimension reduction, learning. [Abstract] [bibtex-entry]



12. R.A. Brooks and L.A. Stein. Building Brains for Bodies. Autonomous Robots, 1(1):pp. 7-25, 1994.
    Keywords: embodiment, artificial intelligence. [Abstract] [Comments] [bibtex-entry]



13. Laurence T. Maloney and Brian A. Wandell. Color constancy: a method for recovering surface spectral reflectance. Optical Society of America, 1985.
    Keywords: color constancy, vision. [Abstract] [bibtex-entry]

1. Weiwei Lie, Emanuel Todorov, and Xiuchuan Pan. Hierarchical Optimal Control of Redundant biomechanical systems. In 26th Anuual Int. Conf. of the IEEE Eng. in Biology and Medecine Sty, 2004.
   Keywords: neuroscience, motor control, minimum variance, feedback. [Abstract] [Comments] [bibtex-entry]



2. Eugene Asarin and Ahmed Bouajjani. Perturbed Turing Machines and Hybrid Systems. In Logic in Computer Science, pages 269-278, 2001.
   Keywords: computation theory. [Comments] [bibtex-entry]

1. M. Riesenhuber and T. Poggio. Computational Models of Object Recognition in Cortex: A Review. Technical report, MIT AI laboratory, Center for Biological and Computational Learning, 2000.
   Keywords: objects, artificial vision, categorization. [Abstract] [bibtex-entry]

1. Computational Motor Control.
   Keywords: journal club, motor control. [bibtex-entry]

All the ressources below are referenced through direct links, for easier use as a library of introductory and comprehensive papers on various subjects. If a paper of yours is on this list and you do not want your homepage to be bypassed, just send me an email.

Comments and ratings are for personnal use, they do not claim to reflect academic value. It is only an indication of their relevance with respect to my own interests and the success they happened to have in the scientific community.

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