LEARNINGCourse Home | Syllabus | Notes and Slides | Reading Assignments | Suggested Books
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1
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Olshausen, B. A. & Field, D. J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609 (1996). PDF |
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2
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Warrington, E., and Shallice, T. Category specific semantic impairments. Brain. 107:829-854 (1984). PDF |
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3
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Thorpe, S., Fize, D., and Marlot, C. Speed of processing in the human visual system. Nature. 381: 520-522 (1996). PDF |
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4
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Hubel and Wiesel. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology. 160:106-154 (1962). PDF |
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5
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Pasupathy, A., and Connor, C.E. Population coding of shape in area V4. Nature Neuroscience. 5:1332-1338 (2002). PDF Comment |
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6
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Hung, C., Kreiman, G., Poggio, T., and DiCarlo, J. Fast read-out of object identity from macaque inferior temporal cortex. Science. 310:863-866 (2005) PDF |
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7
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Afraz, S.R., Kiani, R., and Esteky, H. Microstimulation of inferotemporal cortex influences face categorization. Nature. 422:692-695. (2006). PDF |
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8
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Sheinberg, D.L., and Logothetis, N.K. Noticing familiar objects in real world scences: the role of temporal cortical neurons in natural vision. Journal of Neuroscience. 21(4):1340-1350 (2001). PDF |
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9
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Freeman, J. and E. P. Simoncelli (2011). "Metamers of the ventral stream." Nat Neurosci 14(9): 1195-1201. PDF |
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10
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Krizhevsky, Sutskever, Hinton. ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems 25 (2012). PDF |
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11
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Yang, G., Song, H., Newsome, W. & Wang, X. Clustering and compositionality of task representations in a neural network trained to perform many cognitive tasks. Biorxiv, 183632 (2017). PDF |