DiCarlo, J.J. and J.H.R Maunsell. Anterior Inferotemporal Neurons of Monkeys Engaged in Object Recognition can be Highly Sensitive to Object Retinal Position, Journal of Neurophysiology, 89: 3264-3278, 2003.

Freedman, D.J., M. Riesenhuber, T. Poggio, and E.K. Miller. Comparison of Primate Prefrontal and Inferior Temporal Cortices during Visual Categorization, Journal of Neuroscience, 23, 5235-5246, 2003.

Giese, M. and T. Poggio. Neural Mechanisms for the Recognition of Biological Movements, Nature Neuroscience Review, Vol. 4, 179-192, March 2003.

Kreiman, G. Neural Coding: Computational and Biophysical Perspectives, Physics of Life Reviews, 2, 71-102, 2004.

Lampl, I., D. Ferster, T. Poggio and M. Riesenhuber. "Intracellular Measurements of Spatial Integration and the MAX Operation in Complex Cells of the Cat Primary Visual Cortex," Journal of Neurophysiology, 92, 2704-2713, 2004.

Manwani, A., P.N. Steinmetz and C. Koch. The Impact of Spike Timing Variability on the Encoding Performance of Neural Spiking Models, Neural Computation, to appear.

Poggio, T. and E. Bizzi. Generalization in Vision and Motor Control, Nature, Vol. 431, 768-774, 2004.

Poggio, T., R. Rifkin, S. Mukherjee and P. Niyogi. General Conditions for Predictivity in Learning Theory, Nature, Vol. 428, 419-422, 2004.

Reddy, L., P. Wilken and C. Koch. Face-gender Discrimination is Possible in the Near-absence of Attention, Journal of Vision, 4(2), 106-117, 2004.

Riesenhuber, M., I. Jarudi, S. Gilad and P. Sinha. "Face Processing in Humans is Compatible with a Simple Shape-based Model of Vision," Biological Letters, in press.

Riesenhuber, M. "An Action Video Game Modifies Visual Processing," Trends in Neurosciences, 27, 72-74, 2004.

Book Chapters:

Kreiman, G., I. Fried and C. Koch. "Responses of Single Neurons in the Human Brain during Flash Suppression." In: Binocular Rivalry and Perceptual Ambiguity, (Eds.) R. Blake and D. Alais, MIT Press, Cambridge, MA, Chapter 12, 2005, to appear.

Riesenhuber, M. "Object recognition in Cortex: Neural Mechanisms and Possible Roles for Attention." In: Neurobiology of Attention, (Eds. L. Itti, G. Rees, and J. Tsotsos), in press.

Riesenhuber, M. and T. Poggio. How Visual Cortex Recognizes Objects: The Tale of the Standard Model. In: The Visual Neurosciences, (Eds. L.M. Chalupa and J.S. Werner), MIT Press, Cambridge, MA, Vol. 2, 1640-1653, 2003.

Conference Proceedings:

Rutishauser, U., D. Walther, C. Koch and P. Perona. Is Bottom-up Attention Useful for Object Recognition? In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2004 (in press).

Walther, D., U. Rutishauser, C. Koch and P. Perona. On the Usefulness of Attention for Object Recognition. In: Proceedings of 2nd Workshop on Attention and Performance in Computer Vision at the European Conference on Computer Vision (ECCV), 2004.

Technical Reports:

Kouh, M. and M. Riesenhuber. Investigating Shape Representation in Area V4 with HMAX: Orientation and Grating Selectivities, CBCL Paper #231/AIM #2003-021, Massachusetts Institute of Technology, Cambridge, MA, September 2003.

Kreiman, G., C. Hung, T. Poggio and J. DiCarlo. Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex, CBCL Paper #240/AI Memo #2004-020, Massachusetts Institute of Technology, Cambridge, MA, September, 2004.

Louie, J. A Biological Model of Object Recognition with Feature Learning, CBCL Paper #227/AI Technical Report #2003-009, Massachusetts Institute of Technology, Cambridge, MA, May 2003.

Riesenhuber, M., I. Jarudi, S. Gilad and P. Sinha Face Processing in Humans is Compatible with a Simple-Shape-based Model of Vision, CBCL Paper #236/AI Memo #2004-006, Massachusetts Institute of Technology, Cambridge, MA, March, 2004.

Schneider, R. and M. Riesenhuber. On the Difficulty of Feature-based Attentional Modulations in Visual Object Recognition: A Modeling Study, CBCL Paper #235/AI Memo #2004-004, Massachusetts Institute of Technology, Cambridge, MA, February, 2004.

Serre, T. and M. Riesenhuber. Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex, CBCL Paper #239/AI Memo #2004-017, Massachusetts Institute of Technology, Cambridge, MA, August, 2004.