Neural Mechanisms of Visual Memory: A Neurocomputational Perspective

Visual Memory

Volumn , Issue , 2008, Pages

  Deco, Gustavo ^a   Rolls, Edmund T ^b  

^a UNIVERSITAT POMPEU FABRA   (Spain)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Inferior temporal visual cortex; Neurodynamics; Prefrontral cortex; Viewinvariant representations; Working memory

Indexed keywords

EID: 80053110702     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780195305487.003.0008     Document Type: Chapter

References (157)

1. Abbott, L. F., Rolls, E. T., and Tovee, M. J. (1996). Representational capacity of face coding in monkeys. Cerebral Cortex 6:498-505.
2. Adcock, R., Constable, R., Gore, J., and Goldman-Rakic, P. (2000). Functional neuroanatomy of executive processes involved in dual-task performance. Proceedings of the National Academy of Science 97:3567-3572.
3. Aggelopoulos, N. C., Franco, L., and Rolls, E. T. (2005). Object perception in natural scenes: Encoding by inferior temporal cortex simultaneously recorded neurons. Journal of Neurophysiology 93:1342-1357.
4. Amit, D. (1995). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Behavioral Brain Science 18:617.
5. Amit, D., and Tsodyks, M. (1991). Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate spikes, rates and neuronal gain. Network 2:259-273.
6. Asaad, W. F., Rainer, G., and Miller, E. K. (2000). Task-specific neural activity in the primate prefrontal cortex. Journal of Neurophysiology 84:451-459.
7. Baddeley, A. (1986). Working memory, Oxford University Press, New York.
8. Baddeley, R. J., Abbott, L. F., Booth, M. J. A., Sengpiel, F., Freeman, T., Wakeman, E. A., and Rolls, E. T. (1997). Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proceedings of the Royal Society B 264:1775-1783.
9. Bakers, C. I., Behrmann, M., and Olson, C. R. (2002). Impact of learning on representation of parts and wholes in monkey inferotemporal cortex. Nature Neuroscience 5:1210-1216.
10. Ballard, D. H. (1990). Animate vision uses object-centred reference frames. In Advanced Neural Computers, ed. R. Eckmiller, 229-236. Amsterdam: North-Holland.
11. Barlow, H. B. (1985). Cerebral cortex as model builder. In Models of the Visual Cortex, eds. D. Rose and V. Dobson, 37-46. Chichester, U.K.: Wiley.
12. Barlow, H. B., Kaushal, T., and Mitchison, G. (1989). Finding minimum entropy codes. Neural Computation 1:421-423
13. Battaglia, F., and Treves, A. (1998). Stable and rapid recurrent processing in realistic autoassociative memories. Neural Computation 10:431-450.
14. Baylis, G. C., and Rolls, E. T. (1987). Responses of neurons in the inferior temporal cortex in short term and serial recognition memory tasks. Experimental Brain Research 65:614-622.
15. Baylis, G. C., Rolls, E. T., and Leonard, C. M. (1985). Selectivity between faces in the responses of a population of neurons in the cortex in the superior temporal sulcus of the monkey. Brain Research 342:91-102.
16. Baylis, G C., Rolls, E. T., and Leonard, C. M. (1987). Functional subdivisions of temporal lobe neocortex. Journal of Neuroscience 7:330-342.
17. Bennett, A. (1990). Large competitive networks. Network 1:449-462.
18. Booth, M. C. A., and Rolls, E. T. (1998). View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. Cerebral Cortex 8:510-523.
19. Boussaoud, D. D. R., and Ungerleider, L. G. (1991). Visual topography of area TEO in the macaque. Journal of Comparative Neurology 306:554-575.
20. Bruce, C., Desimone, R., and Gross, C. G. (1981). Visual properties of neurons in a polysensory area in superior temporal sulcus of the macaque. Journal of Neurophysiology 46:369-384.
21. Brunel, N., and Wang, X. (2001). Effects of neuromodulation in a cortical networks model of object working memory dominated by recurrent inhibition. Journal of Computational Neuroscience 11:63-85.
22. Butters, N., and Pandya, D. (1969). Retention of delayed-alternation: Effect of selective lesions of sulcus principalis. Science 165:1271-1273.
23. Camperi, M., and Wang, X. (1998). A model of visuospatial short-term memory in prefrontal cortex: Recurrent network and cellular bistability. Journal of Computational Neuroscience 5:383-405.
24. Chelazzi, L. (1998). Serial attention mechanisms in visual search: A critical look at the evidence. Psychological Research 62:, 195-219.
25. Compte, A., Brunel, N., Goldman-Rakic, P., and Wang, X. (2000). Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral Cortex 10:910-923.
26. Courtney, S., Ungerleider, L., Keil, K., and Haxby, J. (1997). Transient and sustained activity in a distributed neural system for human working memory. Nature 386:608-611.
27. Deco, G., and Rolls, E. T. (2003). Attention and working memory: A dynamical model of neuronal activity in the prefrontal cortex. European Journal of Neuroscience 18:2374-2390.
28. Deco, G., and Rolls, E. T. (2004). A neurodynamical cortical model of visual attention and invariant object recognition. Vision Research 44:621-644.
29. Deco, G., and Rolls, E. T. (2005a). Attention, short term memory, and action selection: A unifying theory. Progress in Neurobiology 76:236-256.
30. Deco, G., and Rolls, E. T. (2005b). Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. Cerebral Cortex 15:15-30.
31. Deco, G., Rolls, E. T., and Horwitz, B. (2004). "What" and "where" in visual working memory: A computational neurodynamical perspective for integrating fMRI and singleneuron data. Journal of Cognitive Neuroscience 16:683-701.
32. Desimone, R. (1991). Face-selective cells in the temporal cortex of monkeys. Journal of Cognitive Neuroscience 3:1-8.
33. Desimone, R. (1996). Neural mechanisms for visual memory and their role in attention. Proceedings of the National Academy of Sciences USA 93:13494-13499.
34. Desimone, R., Albright, T. D., Gross, C. G and Bruce, C. (1984). Stimulus-selective properties of inferior temporal neurons in the macaque. Journal of Neuroscience 4:2051-2062.
35. Desimone, R., and Gross, C. G. (1979). Visual areas in the temporal lobe of the macaque. Brain Research 178:363-380.
36. D'Esposito, M., Aguirre, G K., Zarahn, E., Ballard, D., Shin, R. K., and Lease, J. (1998). Functional MRI studies of spatial and nonspatial working memory. Cognitive Brain Research 7:1-13.
37. Dolan, R. J., Fink, G. R., Rolls, E. T., Booth, M., Holmes, A., Frackowiak, R. S. J., and Friston, K. J. (1997). How the brain learns to see objects and faces in an impoverished context. Nature 389:596-99.
38. Elliffe, M. C. M., Rolls, E. T., and Stringer, S. M. (2002). Invariant recognition of feature combinations in the visual system. Biological Cybernetics 86:59-71.
39. Everling, S., Tinsley, C., Gaffan, D., and Duncan, J. (2002). Filtering of neural signals by focused attention in the monkey prefrontal cortex. Nature Neuroscience 5:671-676.
40. Feldman, J. A. (1985). Four frames suffice: A provisional model of vision and space. Behavioural Brain Sciences 8:265-289.
41. Foldiak, P. (1991). Learning invariance from transformation sequences. Neural Computation 3:193-199.
42. Franco, L., Rolls, E. T., Aggelopoulos, N. C., and Jerez, J. M. (2007). Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. Biology and Cybernetics 96(6):547-560.
43. Franco, L., Rolls, E. T., Aggelopoulos, N. C., and Treves, A. (2004). The use of decoding to analyze the contribution to the information of the correlations between the firing of simultaneously recorded neurons. Experimental Brain Research 155:370-384.
44. Freedman, D. J., Riesenhuber, M., Poggio, T., and Miller, E. K. (2001). Categorical representation of visual stimuli in the primate prefrontal cortex. Science 291:312-316.
45. Freedman, D. J., Riesenhuber, M., Poggio, T., and Miller, E. K. (2003). A comparison of primate prefrontal and inferior temporal cortices during visual categorisation. Journal of Neuroscience 23:5235-5246.
46. Fukushima, K. (1980). Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 36:193-202.
47. Funahashi, S., Bruce, C., and Goldman-Rakic, P. (1989). Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. Journal of Neurophysiology 61:331-349.
48. Funahashi, S., Chafee, M., and Goldman-Rakic, P. (1993). Prefrontal neural activity in rhesus monkeys performing a delayed anti-saccade task. Nature 365:753-756.
49. Fuster, J. (1997). The Prefrontal Cortex, 3rd ed. New York: Raven Press.
50. Fuster, J. (2000). Executive frontal functions. Experimental Brain Research 133:66-70.
51. Fuster, J., and Alexander, G. (1971). Neuron activity related to short-term memory. Science 173:652-654.
52. Glover, G. H. (1999). Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 9:416-29.
53. Goel, V., and Grafman, J. (1995). Are the frontal lobes implicated in "planning" functions? Interpreting data from the Tower of Hanoi. Neuropsychologia 33:632-642.
54. Goldman-Rakic, P. (1987). Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. In Handbook of Physiology: The Nervous System, eds. F. Plum and V. Mountcastle, 373-417. Bethesda, MD: American Physiological Society.
55. Goldman-Rakic, P. (1995). Cellular basis of working memory. Neuron 14:477-485.
56. Goldman-Rakic, P. (1996). Regional and cellular fractionation of working memory. Proceedings of the National Academy of Science 93:13473-13480.
57. Gross, C. G., Desimone, R., Albright, T. D., and Schwartz, E. L. (1985). Inferior temporal cortex and pattern recognition. Experimental Brain Research 11(Suppl):179-201.
58. Hasselmo, M. E., Rolls, E. T., Baylis, G C., and Nalwa, V. (1989). Object-centered encoding by face-selective neurons in the cortex in the superior temporal sulcus of the monkey. Experimental Brain Research 75:417-429.
59. Hebb, D. (1949). The Organization of Behavior:-A Neurophysiological Theory. New York: Wiley.
60. Hertz, J., Krogh, A., and Palmer, R. G. (1991). Introduction to the Theory of Neural Computation. Wokingham, U.K.: Addison Wesley.
61. Hölscher, C., and Rolls, E. T. (2002). Perirhinal cortex neuronal activity is actively related to working memory in the macaque. Neural Plasticity 9:41-51.
62. Hölscher, C., Rolls, E. T., and Xiang, J. Z. (2003). Perirhinal cortex neuronal activity related to long term familiarity memory in the macaque, European Journal of Neuroscience 18:2037-2046.
63. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, USA 79:2554-2558.
64. Horwitz, B., Friston, K. J., and Taylor, J. G. (2000). Neural modeling and functional brain imaging: An overview. Neural Networks 13:829-846.
65. Horwitz, B., Tagamets, M.-A., and McIntosh, A. R. (1999). Neural modeling, functional brain imaging, and cognition. Trends in Cognitive Sciences 3:85-122.
66. Kawaguchi, Y. (1997). Selective cholinergic modulation of cortical GABAergic cell subtypes. Journal of Neurophysiology 78:1743-1747.
67. Kayaert, G., Biederman, I., and Vogels, R. (2005). Representation of regular and irregular shapes in macaque inferotemporal cortex. Cerebral Cortex 15:1308-1321.
68. Koenderink, J. J., and Van Doorn, A. J. (1979). The internal representation of solid shape with respect to vision. Biological Cybernetics 32:211-217.
69. Koch, C., and Freid, I. (2000). Category-specific visual responses of single neurons in the human temporal lobe. Nature Neuroscience 3:946-953.
70. Kubota, K., and Niki, H. (1971). Prefrontal cortical unit activity and delayed alternation performance in monkeys. Journal of Neurophysiology 34:337-347.
71. Kuhn, R. (1990). Statistical mechanics of neural networks near saturation. In Statistical Mechanics of Neural Networks, ed. L. Garrido. Berlin: Springer-Verlag.
72. Kuhn, R., Bos, S., and van Hemmen, J. L. (1991). Statistical mechanics for networks of graded response neurons. Physical Review A 243:2084-2087.
73. Leung, H., Gore, J., and Goldman-Rakic, P. (2002). Sustained mnemonic response in the human middle frontal gyrus during on-line storage of spatial memoranda. Journal of Cognitive Neuroscience 14:659-671.
74. Levy, R., and Goldman-Rakic, P. (1999). Executive frontal functions. Journal of Neuroscience 19:5149-5158.
75. Logothetis, N. K., Pauls, J., Bulthoff, H. H., and Poggio, T. (1994). View-dependent object recognition by monkeys. Current Biology 4:401-414.
76. Lorente de No, R. (1933). Vestibulo-ocular reflex arc. Archives of Neurology Psychiatry 30:245-291.
77. Malsburg, C. V. D. (1990). A neural architecture for the representation of scenes. Brain Organization and Memory: Cells, Systems and Circuits, eds. J. L. McGaugh, N. M. Weinberger, and G. Lynch, 356-372. New York: Oxford University Press.
78. Miller, E., Erickson, C., and Desimone, R. (1996). Neural mechanisms of visual working memory in prefrontal cortex of the macaque. Journal of Neuroscience 16:5154-5167.
79. Miller, E. K. (2000). The prefrontal cortex and cognitive control. Nature Reviews Neuroscience 1:59-65.
80. Miller, E. K., and Desimone, R. (1994). Parallel neuronal mechanisms for short-term memory. Science 263:520-522.
81. Miller, E. K., Li, L., and Desimone, R. (1993). Activity of neurons in anterior inferior temporal cortex during a short-term memory task. Journal of Neuroscience 13:1460-1478.
82. Milner, B. (1963). Effects of different brain lesions on card sorting. Archives of Neurology 9:100-110.
83. Miyashita, Y. (1993). Inferior temporal cortex: Where visual perception meets memory. Annual Review of Neuroscience 16:245-263.
84. Owen, A. M., Herrod, N. J., Menon, D. K., Clark, C. J., Downey, S. P. M. J., Carpenter, T. A., Minhas, P. S., Turkheimer, F. E., Williams, E. J., Robbins, T. W., Sahakian, B. J., Petrides, M., and Pickard, J. (1999). Redefining the functional organization of working memory processes within human lateral prefrontal cortex. European Journal of Neuroscience 11:567-574.
85. Perrett, D. I., Rolls, E. T., and Caan, W. (1982). Visual neurons responsive to faces in the monkey temporal cortex. Experimental Brain Research 47:329-342.
86. Perrett, D. I., Smith, P. A. J., Potter, D. D., Mistlin, A. J. Head, A. S., Milner, D., and Jeeves, M. A. (1985). Visual cells in temporal cortex sensitive to face view and gaze direction. Proceedings of the Royal Society B 223:293-317.
87. Petrides, M. (1994). Frontal lobes and behaviour. Current Opinion in Neurobiology 4:207-211.
88. Poggio, T., and Edelman, S. (1990). A network that learns to recognize three-dimensional objects. Nature 343:263-266.
89. Postle, B. R., and D'Esposito, M. (1999). "What" - then - "Where" in visual working memory: An event-related fMRI study. Journal of Cognitive Neuroscience 11:585-597.
90. Postle, B. R., and D'Esposito, M. (2000). Evaluating models of the topographical organization of working memory function in frontal cortex with event-related fMRI, Psychobiology 28:132-145.
91. Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., and Fried, I. (2005). Invariant visual representation by single neurons in the human brain. Nature 453:1102-1107.
92. Rainer, G., Rao, S., and Miller, E. (1999). Prospective coding for objects in primate prefrontal cortex. Journal of Neuroscience 16:5493-5505.
93. Rao, S., Rainer, G., and Miller, E. (1997). Integration of what and where in the primate prefrontal cortex. Science 276:821-824.
94. Rao, S., Williams, G., and Goldman-Rakic, P. (1999). Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: Evidence for microcolumnar organization in PFC. Journal of Neurophysiology 81:1903-1916.
95. Renart, A., Moreno, R., Rocha, J., Parga, N., and Rolls, E. T. (2001). A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition. Neurocomputing 38-40:1525-1531.
96. Renart, A., Parga, N., and Rolls, E. T. (1999a). Associative memory properties of multiple cortical modules. Network 10:237-255.
97. Renart, A., Parga, N., and Rolls, E. T. (1999b). Backprojections in the cerebral cortex: Implications for memory storage. Neural Computation 11:1349-1388.
98. Renart, A., Parga, N., and Rolls, E. T. (2000). A recurrent model of the interaction between the prefrontal cortex and inferior temporal cortex in delay memory tasks, In Advances in Neural Information Processing Systems, Vol. 12, eds. S. Solla, T. Leen and K.-R. Mueller, 171-177. Cambridge MA: MIT Press.
99. Reynolds, J., and Desimone, R. (1999). The role of neural mechanisms of attention in solving the binding problem. Neuron 24:19-29.
100. Riesenhuber, M., and Poggio, T. (1999a). Are cortical models really bound by the "binding problem"?. Neuron 24:87-93.
101. Riesenhuber, M., and Poggio, T. (1999b). Hierarchical models of object recognition in cortex. Nature Neuroscience 2:1019-1025.
102. Riesenhuber, M., and Poggio, T. (2000). Models of object recognition. Nature Neuroscience Supplement 3:1199-1204.
103. Rolls, E. T. (1984). Neurons in the cortex of the temporal lobe and in the amygdala of the monkey with responses selective for faces. Human Neurobiology 3:209-222.
104. Rolls, E. T. (1989a). Functions of neuronal networks in the hippocampus and neocortex in memory. In Neural Models of Plasticity: Experimental and Theoretical Approaches, eds. J. Byrne and W. Berry. Academic Press, San Diego: Academic Press.
105. Rolls, E. T. (1989b). The representation and storage of information in neuronal networks in the primate cerebral cortex and hippocampus. In The Computing Neuron, eds. R. Durbin, C. Miall, and G. Mitchison, 125-159. Wokingham U.K.: Addison-Wesley.
106. Rolls, E. T. (1992). Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas. Philosophical Transactions of the Royal Society 335:11-21.
107. Rolls, E. T. (2000). Functions of the primate temporal lobe cortical visual areas in invariant visual object and face recognition. Neuron 27:205-218.
108. Rolls, E. T. (2005). Emotion Explained. Oxford University Press, Oxford.
109. Rolls, E. T. (2007). The representation of information about faces in the temporal and frontal lobes of primates including humans. Neuropsychologia 45:124-143.
110. Rolls, E. T. (2008). Memory, Attention, and Decision-Making: A Unifying Computational Neuroscience Approach. Oxford University Press, Oxford.
111. Rolls, E. T., Aggelopoulos, N. C., Franco, L., and Treves, A. (2004). Information encoding in the inferior temporal visual cortex: Contributions of the firing rates and the correlations between the firing of neurons. Biological Cybernetics 90:19-32.
112. Rolls, E. T., Aggelopoulos, N. C., and Zheng, F. (2003a). The receptive fields of inferior temporal cortex neurons in natural scenes. Journal of Neuroscience 23:339-348.
113. Rolls, E. T., and Baylis, G. C. (1986). Size and contrast have only small effects on the responses to faces of neurons in the cortex of the superior temporal sulcus of the monkey. Experimental Brain Research 65:38-48.
114. Rolls, E. T., Baylis, G. C., Hasselmo, M., and Nalwa, V. (1989). The representation of information in the temporal lobe visual cortical areas of macaque monkeys. In Seeing Contour and Colour, eds. J. Kulikowski, C. Dickinson, and I. Murray. Oxford, U.K.: Pergamon.
115. Rolls, E. T., Baylis, G. C., and Leonard, C. M. (1985). Role of low and high spatial frequencies in the face-selective responses of neurons in the cortex in the superior temporal sulcus. Vision Research 25:1021-1035.
116. Rolls, E. T., and Deco, G. (2002). Computational Neuroscience of Vision. Oxford: Oxford University Press.
117. Rolls, E. T., and Deco, G (2006). Attention in natural scenes: Neurophysiological and computational bases. Neural Networks, 19:1383-1394.
118. Rolls, E. T., Franco, L., Aggelopoulos, N. C., and Reece, S. (2003b). An information theoretic approach to the contributions of the firing rates and the correlations between the firing of neurons. Journal of Neurophysiology 89:2810-2822.
119. Rolls, E. T., Franco, L., and Stringer, S. M. (2005). The perirhinal cortex and long-term familiarity memory, Quarterly Journal of Experimental Psychology B 58:234-245.
120. Rolls, E. T., and Milward, T. (2000). A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition, and information-based performance measures. Neural Computation 12:2547-2572.
121. Rolls, E. T., and Stringer, S. M. (2001). Invariant object recognition in the visual system with error correction and temporal difference learning. Network Computation in Neural Systems 12:111-129.
122. Rolls, E. T., and Stringer, S. M. (2006). Invariant visual object recognition: A model, with lighting invariance. Journal of Physiology-Paris 100:43-62.
123. Rolls, E. T., and Stringer, S. M. (2007). Invariant global motion recognition in the dorsal visual system: A unifying theory. Neural Computation 19:139-169.
124. Rolls, E. T., and Tovee, M. J. (1994). Processing speed in the cerebral cortex and the neurophysiology of visual masking. Proceedings of the Royal Society B 257:9-15.
125. Rolls, E. T., and Tovee, M. J. (1995). Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. Journal of Neurophysiology 73:713-726.
126. Rolls, E. T., Tovee, M. J., and Panzeri, S. (1999). The neurophysiology of backward visual masking: Information analysis. Journal of Cognitive Neuroscience 11:335-346.
127. Rolls, E. T., Tovee, M. J., Purcell, D. G., Stewart, A. L., and Azzopardi, P (1994). The responses of neurons in the temporal cortex of primates, and face identification and detection. Experimental Brain Research 101:474-484.
128. Rolls, E. T., and Treves, A. (1998). Neural Networks and Brain Function. Oxford: Oxford University Press.
129. Rolls, E. T., Treves, A., and Tovee, M. J. (1997a). The representational capacity of the distributed encoding of information provided by populations of neurons in the primate temporal visual cortex. Experimental Brain Research 114:149-162.
130. Rolls, E. T., Treves, A., Tovee, M., and Panzeri, S. (1997b). Information in the neuronal representation of individual stimuli in the primate temporal visual cortex. Journal of Computational Neuroscience 4:309-333.
131. Shiino, M., and Fukai, T. (1990). Replica-symmetric theory of the nonlinear analogue neural networks. Journal of Physics A: Mathematical and General 23:L1009-L1017.
132. Sigala, N. (2004). Visual categorisation and the inferior temporal cortex. Behavioural Brain Research 149:1-7.
133. Sigala, N., Gabbiani, F., and Logothetis, N. K. (2002). Visual categorisation and object representation in monkeys and humans. Journal of Cognitive Neuroscience 14:187-198.
134. Sigala, N., and Logothetis, N. K. (2002). Visual categorisation shapes feature selectivity in the primate temporal cortex. Nature 415:318-320.
135. Stringer, S. M., and Rolls, E. T. (2000). Position invariant recognition in the visual system with cluttered environments. Neural Networks 13:305-315.
136. Stringer, S. M., and Rolls, E. T. (2002). Invariant object recognition in the visual system with novel views of 3D objects. Neural Computation 14:2585-2596.
137. Suzuki, W. A. (1999). The long and the short of it: Memory signals in the medial temporal lobe. Neuron 24:295-298.
138. Suzuki, W. A., Miller, E. K., and Desimone, R. (1997). Object and place memory in the macaque entorhinal cortex. Journal of Neurophysiology 78:1062-1081.
139. Szabo, M., Almeida, R., Deco, G., and Stetter, M. (2005a). A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neuro computing 65-66:195-201.
140. Szabo, M., Deco, G., Fusi, S., Del Giudice, P., Mattia, M., and Stetter, M. (2006)(2005b). Learning to attend: Modelling the shaping of selectivity in infero-temporal cortex in a categorization task. Biology and Cybernetics 94(5):351-365.
141. Tanaka, K., Saito, C., Fukada, Y., and Moriya, M. (1990). Integration of form, texture, and color information in the inferotemporal cortex of the macaque. In Vision, Memory and the Temporal Lobe, eds. E. Iwai and M. Mishkin, 101-109. New York: Elsevier.
142. Tarr, M. J., and Cheng, Y D. (2003). Learning to see faces and objects. Trends in Cognitive Sciences 7:23-29.
143. Tomita, H., Ohbayashi, M., Nakahara, K., Hasegawa, I., and Miyashita, Y. (1999). Topdown signal from prefrontal cortex in executive control of memory retrieval. Nature 401:699-703.
144. Tovee, M. J., Rolls, E. T., and Azzopardi, P. (1994). Translation invariance and the responses of neurons in the temporal visual cortical areas of primates. Journal of Neurophysiology 72:1049-1060.
145. Tovee, M. J., Rolls, E. T., and Ramachandran, V. S. (1996). Rapid visual learning in neurones of the primate temporal visual cortex. NeuroReport 7:2757-2760.
146. Trappenberg, T. P., Rolls, E. T., and Stringer, S. M. (2002). Effective size of receptive fields of inferior temporal visual cortex neurons in natural scenes. In Advances in Neural Information Processing Systems, Vol. 14, eds. T. G. Dietterich, S. Becker and Z. Gharamani, 293-300. Cambridge MA: MIT Press.
147. Treves, A., Panzeri, S., Rolls, E. T., Booth, M., and Wakeman, E. A. (1999). Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli. Neural Computation 11:611-641.
148. Ullman, S. (1996). High-Level Vision. Object Recognition and Visual Cognition. Cambridge MA: Bradford/MIT Press.
149. Ungerleider, L., Courtney, S., and Haxby, J. (1998). A neural system for human visual working memory. Proceedings of the National Academy of Science 95:883-890.
150. Ungerleider, L. G., and Mishkin, M. (1982). Two cortical visual systems. In Analysis of Visual Behavior, ed. D. J. Ingle, 549-586. Cambridge MA: MIT Press.
151. Wallis, G. and Rolls, E. T. (1997). Invariant face and object recognition in the visual system. Progress in Neurobiology 51:167-194.
152. Wallis, J., Anderson, K., and Miller, E. (2001). Single neurons in prefrontal cortex encode abstract rules. Nature 411:953-956.
153. Wilson, F. A. W., O'Scalaidhe, S. P., and Goldman-Rakic, P. S. (1993a). Dissociation of object and spatial processing domains in primate prefrontal cortex. Science 260:1955-1958.
154. Wilson, F., O'Sclaidhe, S., and Goldman-Rakic, P. (1993b). Dissociation of object and spatial processing domains in primate prefrontal cortex. Science 260:1955-1958.
155. Xiang, J. Z., and Brown, M. W. (1998). Differential neuronal encoding of novelty, familiarity and recency in regions of the anterior temporal lobe. Neuropharmacology 37:657-676.
156. Yamane, S., Kaji, S., and Kawano, K. (1988). What facial features activate face neurons in the inferotemporal cortex of the monkey?. Experimental Brain Research 73:209-214.
157. Zarahn, E., Aguirre, G., and D'Esposito, M. (1997). A trial-based experimental design for fMRI. Neuroimage 6:75-144.