Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association

[1]  Daniel J. Amit,et al.  Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors , 1999, Neural Computation.

[2]  Vicki Bruce,et al.  Face Recognition: From Theory to Applications , 1999 .

[3]  E. Rolls,et al.  INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM , 1997, Progress in Neurobiology.

[4]  Marian Stewart Bartlett,et al.  Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks , 1996, NIPS.

[5]  Suzanna Becker,et al.  Learning Temporally Persistent Hierarchical Representations , 1996, NIPS.

[6]  D. Amit.  The Hebbian paradigm reintegrated: Local reverberations as internal representations , 1995, Behavioral and Brain Sciences.

[7]  N. Logothetis,et al.  Psychophysical and physiological evidence for viewer-centered object representations in the primate. , 1995, Cerebral cortex.

[8]  E. Rolls.  Learning mechanisms in the temporal lobe visual cortex , 1995, Behavioural Brain Research.

[9]  W J Freeman,et al.  Characterization of state transitions in spatially distributed, chaotic, nonlinear, dynamical systems in cerebral cortex , 1994, Integrative physiological and behavioral science : the official journal of the Pavlovian Society.

[10]  David Beymer,et al.  Face recognition under varying pose , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Mark H. Johnson,et al.  Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting , 1994, Neural Computation.

[12]  H H Bülthoff,et al.  How are three-dimensional objects represented in the brain? , 1994, Cerebral cortex.

[13]  Joachim M. Buhmann,et al.  Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.

[14]  E. Capaldi,et al.  The organization of behavior. , 1992, Journal of applied behavior analysis.

[15]  M. Stryker.  Temporal associations , 1991, Nature.

[16]  Michael S. Landy,et al.  Computational models of visual processing , 1991 .

[17]  Peter Földiák,et al.  Learning Invariance from Transformation Sequences , 1991, Neural Comput..

[18]  J. Leo van Hemmen,et al.  Temporal association , 1991 .

[19]  T. Poggio,et al.  A network that learns to recognize three-dimensional objects , 1990, Nature.

[20]  Y. Miyashita.  Neuronal correlate of visual associative long-term memory in the primate temporal cortex , 1988, Nature.

[21]  John G. Daugman,et al.  Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..

[22]  M. Tsodyks,et al.  The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .

[23]  A. J. Mistlin,et al.  Visual neurones responsive to faces , 1987, Trends in Neurosciences.

[24]  David Zipser,et al.  Feature Discovery by Competive Learning , 1986, Cogn. Sci..

[25]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[26]  I. Biederman,et al.  Neural and psychophysical analysis of object and face recognition , 1998 .

[27]  V. Bruce,et al.  Human Face Perception and Identification , 1998 .

[28]  Terrence J. Sejnowski,et al.  Unsupervised Learning Of Invariant Representations Of Faces Through Temporal Association , 1996 .

[29]  Geoffrey E. Hinton,et al.  Lesioning an attractor network: investigations of acquired dyslexia. , 1991, Psychological review.

[30]  Michael S. Landy,et al.  Nonlinear Model of Neural Responses in Cat Visual Cortex , 1991 .

[31]  Terence D. Sanger,et al.  Optimal unsupervised learning in a single-layer linear feedforward neural network , 1989, Neural Networks.

[32]  Erkki Oja,et al.  Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..