INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM
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[1] E. Rolls,et al. Neural networks and brain function , 1998 .
[2] L. Abbott,et al. Responses of neurons in primary and inferior temporal visual cortices to natural scenes , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[3] Edmund Rolls,et al. A neurophysiological and computational approach to the functions of the temporal lobe cortical visual areas in invariant object recognition , 1997 .
[4] Bartlett W. Mel. SEEMORE: Combining Color, Shape, and Texture Histogramming in a Neurally Inspired Approach to Visual Object Recognition , 1997, Neural Computation.
[5] A. Treves,et al. The representational capacity of the distributed encoding of information provided by populations of neurons in primate temporal visual cortex , 1997, Experimental Brain Research.
[6] Guy M. Wallis,et al. Using Spatio-temporal Correlations to Learn Invariant Object Recognition , 1996, Neural Networks.
[7] V. Ramachandran,et al. Rapid visual learning in neurones of the primate temporal visual cortex. , 1996, Neuroreport.
[8] M. Tovée,et al. Representational capacity of face coding in monkeys. , 1996, Cerebral cortex.
[9] E. Rolls,et al. Face and voice expression identification in patients with emotional and behavioural changes following ventral frontal lobe damage , 1996, Neuropsychologia.
[10] G Kovács,et al. Cortical correlate of pattern backward masking. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[11] M. Tovée,et al. Information encoding in short firing rate epochs by single neurons in the primate temporal visual cortex , 1995 .
[12] E T Rolls,et al. Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. , 1995, Journal of neurophysiology.
[13] E. Rolls. Learning mechanisms in the temporal lobe visual cortex , 1995, Behavioural Brain Research.
[14] Edmund T. Rolls,et al. A theory of emotion and consciousness, and its application to understanding the neural basis of emotion. , 1995 .
[15] Leslie G. Ungerleider,et al. ‘What’ and ‘where’ in the human brain , 1994, Current Opinion in Neurobiology.
[16] E. Rolls. Brain mechanisms for invariant visual recognition and learning , 1994, Behavioural Processes.
[17] M. Tovée,et al. Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque. , 1994, Journal of neurophysiology.
[18] M. Tovée,et al. Processing speed in the cerebral cortex and the neurophysiology of visual masking , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[19] E. Rolls,et al. Computational analysis of the role of the hippocampus in memory , 1994, Hippocampus.
[20] N. Logothetis,et al. View-dependent object recognition by monkeys , 1994, Current Biology.
[21] R. Desimone,et al. Parallel neuronal mechanisms for short-term memory. , 1994, Science.
[22] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[23] D. V. van Essen,et al. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[24] M. Tovée,et al. Information encoding and the responses of single neurons in the primate temporal visual cortex. , 1993, Journal of neurophysiology.
[25] Y. Miyashita. Inferior temporal cortex: where visual perception meets memory. , 1993, Annual review of neuroscience.
[26] A. Treves. Mean-field analysis of neuronal spike dynamics , 1993 .
[27] G. Wallis,et al. Learning invariant responses to the natural transformations of objects , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).
[28] I. Biederman,et al. Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.
[29] W. Singer,et al. Temporal coding in the visual cortex: new vistas on integration in the nervous system , 1992, Trends in Neurosciences.
[30] E T Rolls,et al. Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[31] D I Perrett,et al. Organization and functions of cells responsive to faces in the temporal cortex. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[32] D C Van Essen,et al. Information processing in the primate visual system: an integrated systems perspective. , 1992, Science.
[33] Edmund T. Rolls,et al. Neurophysiology and functions of the primate amygdala. , 1992 .
[34] H H Bülthoff,et al. Psychophysical support for a two-dimensional view interpolation theory of object recognition. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[35] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[36] E. Rolls. Neural organization of higher visual functions , 1991, Current Opinion in Neurobiology.
[37] Keiji Tanaka,et al. Coding visual images of objects in the inferotemporal cortex of the macaque monkey. , 1991, Journal of neurophysiology.
[38] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[39] G. Edelman,et al. Spatial signaling in the development and function of neural connections. , 1991, Cerebral cortex.
[40] Leslie G. Ungerleider,et al. Visual topography of area TEO in the macaque , 1991, The Journal of comparative neurology.
[41] Leslie G. Ungerleider,et al. Organization of visual inputs to the inferior temporal and posterior parietal cortex in macaques , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[42] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[43] E. Rolls. A Theory of Emotion, and its Application to Understanding the Neural Basis of Emotion , 1990 .
[44] Joachim M. Buhmann,et al. Size and distortion invariant object recognition by hierarchical graph matching , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[45] T Poggio,et al. Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks , 1990, Science.
[46] T. Poggio,et al. A network that learns to recognize three-dimensional objects , 1990, Nature.
[47] Adam Bennett,et al. Large competitive networks , 1990 .
[48] E. W. Kairiss,et al. Hebbian synapses: biophysical mechanisms and algorithms. , 1990, Annual review of neuroscience.
[49] Edmund T. Rolls,et al. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain , 1990 .
[50] H. B. Barlow,et al. Finding Minimum Entropy Codes , 1989, Neural Computation.
[51] M. Hasselmo,et al. The role of expression and identity in the face-selective responses of neurons in the temporal visual cortex of the monkey , 1989, Behavioural Brain Research.
[52] M. Tarr,et al. Mental rotation and orientation-dependence in shape recognition , 1989, Cognitive Psychology.
[53] E. Rolls. The representation and storage of information in neural networks in the primate cerebral cortex and hippocampus , 1989 .
[54] E. Rolls. Functions of neuronal networks in the hippocampus and neocortex in memory , 1989 .
[55] Y. Miyashita,et al. Neuronal correlate of pictorial short-term memory in the primate temporal cortexYasushi Miyashita , 1988, Nature.
[56] A. J. Mistlin,et al. Visual neurones responsive to faces , 1987, Trends in Neurosciences.
[57] M. Hasselmo,et al. The responses of neurons in the cortex in the superior temporal sulcus of the monkey to band-pass spatial frequency filtered faces , 1987, Vision Research.
[58] A. Parker,et al. Spatial properties of neurons in the monkey striate cortex , 1987, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[59] E. Rolls,et al. Functional subdivisions of the temporal lobe neocortex , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[60] H. Barlow. Cerebral Cortex as Model Builder , 1987 .
[61] John H. R. Maunsell,et al. Visual processing in monkey extrastriate cortex. , 1987, Annual review of neuroscience.
[62] R. Linsker,et al. From basic network principles to neural architecture , 1986 .
[63] E. Rolls,et al. Role of low and high spatial frequencies in the face-selective responses of neurons in the cortex in the superior temporal sulcus in the monkey , 1985, Vision Research.
[64] E. Rolls,et al. Selectivity between faces in the responses of a population of neurons in the cortex in the superior temporal sulcus of the monkey , 1985, Brain Research.
[65] A. J. Mistlin,et al. Visual analysis of body movements by neurones in the temporal cortex of the macaque monkey: A preliminary report , 1985, Behavioural Brain Research.
[66] J. Feldman. Four frames suffice: A provisional model of vision and space , 1985, Behavioral and Brain Sciences.
[67] E. Rolls,et al. Neurons in the amygdala of the monkey with responses selective for faces , 1985, Behavioural Brain Research.
[68] A. J. Mistlin,et al. Visual cells in the temporal cortex sensitive to face view and gaze direction , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[69] R. Desimone,et al. Inferior Temporal Cortex and Pattern Recognition , 1985 .
[70] Rolls Et. Neurons in the cortex of the temporal lobe and in the amygdala of the monkey with responses selective for faces. , 1984 .
[71] Leslie G. Ungerleider. Two cortical visual systems , 1982 .
[72] E. Oja. Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.
[73] Geoffrey E. Hinton. A Parallel Computation that Assigns Canonical Object-Based Frames of Reference , 1981, IJCAI.
[74] A G Barto,et al. Toward a modern theory of adaptive networks: expectation and prediction. , 1981, Psychological review.
[75] B. Breitmeyer. Unmasking visual masking: a look at the "why" behind the veil of the "how". , 1980, Psychological review.
[76] Indranil Chakravarty,et al. A Generalized Line and Junction Labeling Scheme with Application to scene Analysis , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[77] D. Pandya,et al. Afferent cortical connections and architectonics of the superior temporal sulcus and surrounding cortex in the rhesus monkey , 1978, Brain Research.
[78] P Cavanagh,et al. Size and Position Invariance in the Visual System , 1978, Perception.
[79] Roman Bek,et al. Discourse on one way in which a quantum-mechanics language on the classical logical base can be built up , 1978, Kybernetika.
[80] C. Gross. Visual Functions of Inferotemporal Cortex , 1973 .
[81] M. Turvey. On peripheral and central processes in vision: inferences from an information-processing analysis of masking with patterned stimuli. , 1973, Psychological review.