The Code for Facial Identity in the Primate Brain

[1]  L Sirovich,et al.  Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[2]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  T. Valentine The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology a Unified Account of the Effects of Distinctiveness, Inversion, and Race in Face Recognition , 2022 .

[4]  Minami Ito,et al.  Size and position invariance of neuronal responses in monkey inferotemporal cortex. , 1995, Journal of neurophysiology.

[5]  Keiji Tanaka,et al.  Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.

[6]  Tomaso Poggio,et al.  Image Representations for Visual Learning , 1996, Science.

[7]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[8]  Timothy F. Cootes,et al.  Interpreting face images using active appearance models , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[9]  Matthew Turk,et al.  A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.

[10]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[11]  Doris Y. Tsao,et al.  Faces and objects in macaque cerebral cortex , 2003, Nature Neuroscience.

[12]  Charles E Connor,et al.  Underlying principles of visual shape selectivity in posterior inferotemporal cortex , 2004, Nature Neuroscience.

[13]  C. Koch,et al.  Invariant visual representation by single neurons in the human brain , 2005, Nature.

[14]  Doris Y. Tsao,et al.  A Cortical Region Consisting Entirely of Face-Selective Cells , 2006, Science.

[15]  Eero P. Simoncelli,et al.  Spike-triggered neural characterization. , 2006, Journal of vision.

[16]  M. Giese,et al.  Norm-based face encoding by single neurons in the monkey inferotemporal cortex , 2006, Nature.

[17]  Pawan Sinha,et al.  Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About , 2006, Proceedings of the IEEE.

[18]  J. Gallant,et al.  Identifying natural images from human brain activity , 2008, Nature.

[19]  R. Simon,et al.  Statistical Applications in Genetics and Molecular Biology Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling , 2011 .

[20]  Doris Y. Tsao,et al.  Patches with Links: A Unified System for Processing Faces in the Macaque Temporal Lobe , 2008, Science.

[21]  Doris Y. Tsao,et al.  Comparing face patch systems in macaques and humans , 2008, Proceedings of the National Academy of Sciences.

[22]  Doris Y. Tsao,et al.  A face feature space in the macaque temporal lobe , 2009, Nature Neuroscience.

[23]  Doris Y. Tsao,et al.  Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System , 2010, Science.

[24]  V. Kshirsagar,et al.  Face recognition using Eigenfaces , 2011, 2011 3rd International Conference on Computer Research and Development.

[25]  Eric T. Carlson,et al.  Medial Axis Shape Coding in Macaque Inferotemporal Cortex , 2012, Neuron.

[26]  Doris Y. Tsao,et al.  MR-guided stereotactic navigation , 2012, Journal of Neuroscience Methods.

[27]  Xiao-Jing Wang,et al.  The importance of mixed selectivity in complex cognitive tasks , 2013, Nature.

[28]  Ha Hong,et al.  Performance-optimized hierarchical models predict neural responses in higher visual cortex , 2014, Proceedings of the National Academy of Sciences.

[29]  Brice A. Kuhl,et al.  Neural portraits of perception: Reconstructing face images from evoked brain activity , 2014, NeuroImage.

[30]  Ha Hong,et al.  Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance , 2015, The Journal of Neuroscience.

[31]  Marlene Behrmann,et al.  Feature-based face representations and image reconstruction from behavioral and neural data , 2015, Proceedings of the National Academy of Sciences.

[32]  Doris Y. Tsao,et al.  Anatomical Connections of the Functionally Defined “Face Patches” in the Macaque Monkey , 2016, Neuron.

[33]  David J. Schwab,et al.  Comment on "Why does deep and cheap learning work so well?" [arXiv: 1608.08225] , 2016, ArXiv.

[34]  Rufin Vogels,et al.  Sources of adaptation of inferior temporal cortical responses , 2016, Cortex.

[35]  Max Tegmark,et al.  Why Does Deep and Cheap Learning Work So Well? , 2016, Journal of Statistical Physics.

[36]  Rama Chellappa,et al.  Face Alignment by Local Deep Descriptor Regression , 2016, ArXiv.