TopClass Preliminaries. Notes.
Lecture 1. Introduction to visual pattern recognition. Why is vision difficult? Slides. Notes.
Reading 1. Keat et al. Predicting every spike: a model for the responses of visual neurons. Neuron. 30:803-817 (2001). PDF. Reading assignment discussion: Monday 09/19. Paper due Monday 09/26.
Lecture 2. Natural image statistics and the retina. Slides. Notes.
Reading 2. Hubel and Wiesel. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology. 160:106-154 (1962). PDF. Reading assignment discussion: Monday 09/19. Paper due: Monday 09/26.
Lecture 3. Primary visual cortex. Slides. Notes.
Reading 3. Warrington, E., and Shallice, T. (1984). Category specific semantic impairments. Brain 107, 829-854. PDF. Reading assignment discussion: Monday 09/26. Paper due: Monday 10/03.
Lecture 4. Lesions and neurological examination of extrastriate visual cortex. Slides. Notes.
Reading 4. Pasupathy, A., and Connor, C.E. (2002). Population coding of shape in area V4. Nature Neuroscience 5, 1332-1338. PDF. Comment. Reading assignment discussion: Monday 10/03. Paper due: Monday 10/17.
Lecture 5. Adventures into terra incognita: probing the neurophysiological responses along the ventral visual stream. Slides.
Reading 5. Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520-522. PDF. Reading assignment discussion: Monday 10/17. Paper due: Monday 10/24.
Lecture 6. Psychophysical studies of visual object recognition. Slides. Notes.
Reading 6. Hung C, Kreiman G, Poggio T, DiCarlo J. (2005) Fast read-out of object identity from macaque inferior temporal cortex. Science, 310:863-866. PDF. Reading assignment discussion: Monday 10/24. Paper due: Monday 10/31.
Lecture 7. First steps into inferior temporal cortex. Slides. Notes.
Reading 7. Sheinberg, D. L., & Logothetis, N. K. (2001). Noticing familiar objects in real world scenes: the role of temporal cortical neurons in natural vision. J Neurosci, 21(4), 1340-1350. PDF. Reading assignment discussion: Monday 10/31. Paper due: Monday 11/07.
Lecture 8. From the highest echelons of visual processing to cognition. Slides. Notes.
Reading 8. Afraz SR, Kiani R, Esteky H (2006). Microstimulation of inferotemporal cortex influences face categorization. Nature 422: 692-695. PDF. Comment. Reading assignment discussion: Monday 11/07. Paper due: Monday 11/14.
Lecture 9. From correlation to causation: electrical stimulation of visual cortex. Slides. Notes.
Reading 9. Carandini, M., Heeger, D. J., & Movshon, J. A. (1997). Linearity and normalization in simple cells of the macaque primary visual cortex. J Neurosci, 17(21), 8621-8644. PDF. Reading assignment discussion: Wed 11/16. Paper due: Monday 11/21.
Lecture 10. First steps towards in silico vision. Slides.
Reading 10. Serre, T., Kreiman, G., Kouh, M., Cadieu, C., Knoblich, U., & Poggio, T. (2007). A quantitative theory of immediate visual recognition. Progress In Brain Research, 165C, 33-56. PDF. Reading assignment discussion: Monday 11/21. Paper due: Monday 11/28.
Lecture 11. Computational models of the ventral visual stream. Slides. Notes.
Reading 11. Pinto, N., Stone, Z., Zickler, T., & Cox, D. D. (2011). Scaling Up Biologically-Inspired Computer Vision: A Case Study in Unconstrained Face Recognition on Facebook. Paper presented at the Workshop on Biologically Consistent Vision. PDF. Reading assignment discussion: Monday 11/28. Paper due: Monday 12/05.
Lecture 12. Computer Vision. Slides.
Reading 12. Sheinberg, D. L., & Logothetis, N. K. (1997). The role of temporal areas in perceptual organization. Proceedings of the National Academy of Sciences, USA, 94, 3408-3413. PDF. Reading assignment discussion: Monday 12/05. Paper due: Monday 12/12.
Lecture 13. Neural correlates of visual consciousness. Slides.
Reading 13. Reading assignment discussion: Tsao, D. Y., Freiwald, W. A., Tootell, R. B., & Livingstone, M. S. (2006). A cortical region consisting entirely of face-selective cells. Science, 311(5761), 670-674. PDF. Supplementary Material. Monday 12/12. Paper due: Thursday 12/15.
Lecture 14. Hilbert questions in visual recognition. Slides.