INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM

[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.