Modeling Visual Ventral Pathway Based on the Neocognitron
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[1] J. P. Jones,et al. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.
[2] Kunihiko Fukushima,et al. Neocognitron for handwritten digit recognition , 2003, Neurocomputing.
[3] E. Rolls. Brain mechanisms for invariant visual recognition and learning , 1994, Behavioural Processes.
[4] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[5] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[6] D. Hubel,et al. Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.
[7] Tomaso A. Poggio,et al. 3D Object Recognition: A Model of View-Tuned Neurons , 1996, NIPS.
[8] Keiji Tanaka,et al. Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.
[9] Tomaso A. Poggio,et al. Just One View: Invariances in Inferotemporal Cell Tuning , 1997, NIPS.
[10] Keiji Tanaka,et al. Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. , 1994, Journal of neurophysiology.
[11] T. Poggio,et al. Hierarchical models of object recognition in cortex September 23 , 1999 , 1999 .
[12] K. Fukushima. Neural network model for selective attention in visual pattern recognition and associative recall. , 1987, Applied optics.
[13] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[14] David L. Sheinberg,et al. Visual object recognition. , 1996, Annual review of neuroscience.
[15] A. J. Mistlin,et al. Visual neurones responsive to faces , 1987, Trends in Neurosciences.