Learning separate visual representations of independently rotating objects

Network: Computation in Neural Systems

Volumn 23, Issue 1-2, 2012, Pages 1-23

  Tromans, James Matthew ^a   Page, Hector J I ^a   Stringer, Simon M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Inferior temporal cortex; Object recognition; Rotating objects

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; HUMAN; INFORMATION SCIENCE; LEARNING; NERVE CELL; PHOTOSTIMULATION; PHYSIOLOGY; RECOGNITION; ROTATION; TEMPORAL LOBE; VISION; VISUAL SYSTEM;

ALGORITHMS; HUMANS; INFORMATION THEORY; LEARNING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; PHOTIC STIMULATION; RECOGNITION (PSYCHOLOGY); ROTATION; TEMPORAL LOBE; VISUAL PATHWAYS; VISUAL PERCEPTION;

EID: 84861843067     PISSN: 0954898X     EISSN: 13616536     Source Type: Journal    
DOI: 10.3109/0954898X.2011.651520     Document Type: Article

References (30)

1. Booth M, Rolls ET. 1998. View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex. Cereb Cortex 8 (6):510-523. (Pubitemid 28420600)
2. Desimone R. 1991. Face-Selective cells in the temporal cortex of monkeys. Journal of Cognitive Neuroscience 3 (1):1-8.
3. Gattass R, Sousa A, Gross C. 1988. Visuotopic organization and extent of v3 and v4 of the macaque. J Neurosci. 8 (6):1831-1845.
4. Gegenfurtner KR, Kiper DC, Levitt JB. 1997. Functional properties of neurons in macaque area v3. Journal of Neurophysiology 77 (4):1906-1923. (Pubitemid 27174982)
5. Goodale MA, Milner A. 1992. Separate visual pathways for perception and action. Trends in Neurosciences 15 (1):20-25.
6. Hasselmo ME, Rolls ET, Baylis GC, Nalwa V. 1989. Object-centered encoding by face-selective neurons in the cortex in the superior temporal sulcus of the monkey. Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale 75 (2):417-429, PMID: 2721619. (Pubitemid 19110678)
7. Hawken MJ, Parker AJ. 1987. Spatial properties of neurons in the monkey striate cortex. Proceedings of the Royal Society of London. Series B, Biological Sciences 231 (1263):251-288. (Pubitemid 17106475)
8. Hertz JA, Krogh AS, Palmer RG. 1991. Introduction to the Theory of Neural Computation, Volume I. Westview Press.
9. Ito M, Tamura H, Fujita I, Tanaka K. 1995. Size and position invariance of neuronal responses in monkey inferotemporal cortex. J Neurophysiol 73 (1):218-226.
10. Kiani R, Esteky H, Mirpour K, Tanaka K. 2007. Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. J Neurophysiol 97 (6):4296-4309. (Pubitemid 47080657)
11. Kobatake E, Tanaka K. 1994. Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex. J Neurophysiol 71 (3):856-867. (Pubitemid 24094858)
12. Kohonen T. 1982. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1):59-69. (Pubitemid 12139984)
13. Levitt JB, Kiper DC, Movshon JA. 1994. Receptive fields and functional architecture of macaque v2. Journal of Neurophysiology 71 (6):2517-2542. (Pubitemid 24184886)
14. Op De Beeck H, Vogels R. 2000. Spatial sensitivity of macaque inferior temporal neurons. The Journal of Comparative Neurology 426 (4):505-518, PMID: 11027395.
15. Perrett D, Oram M. 1993. Neurophysiology of shape processing. Image and Vision Computing 11 (6):317-333.
16. Perry G, Rolls ET, Stringer SM. 2006. Spatial vs temporal continuity in view invariant visual object recognition learning. Vision Research 46 (23):3994-4006. (Pubitemid 44466613)
17. Rolls E, Treves A. 1990. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain. Network: Computation in Neural Systems 1 (4):407-421.
18. Rolls ET, Cowey A, Bruce V. 1992. Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas. Philosophical Transactions: Biological Sciences 335 (1273):11-21.
19. Rolls ET, 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 (11):2547-2572, PMID: 11110127.
20. Rolls ET, Treves A. 1998. Neural Networks and Brain Function. 1st ed. USA: Oxford University Press.
21. Rolls ET, Treves A, Tovee MJ, Panzeri S. 1997. Information in the neuronal representation of individual stimuli in the primate temporal visual cortex. 4:309-333.
22. Royer S, Pare D. 2003. Conservation of total synaptic weight through balanced synaptic depression and potentiation. Nature 422 (6931):518-522. (Pubitemid 36433646)
23. Stringer S, Perry G, Rolls E, Proske J. 2006. Learning invariant object recognition in the visual system with continuous transformations. Biological Cybernetics 94 (2):128-142. (Pubitemid 43130631)
24. Stringer SM, Rolls ET. 2000. Position invariant recognition in the visual system with cluttered environments. Neural Networks 13 (3):305-315. (Pubitemid 30252007)
25. Stringer SM, Rolls ET. 2008. Learning transform invariant object recognition in the visual system with multiple stimuli present during training. Neural Netw. 21 (7):888-903, ACM ID: 1411863.
26. Stringer SM, Rolls ET, Tromans JM. 2007. Invariant object recognition with trace learning and multiple stimuli present during training. Network: Computation in Neural Systems 18 (2):161.
27. Tovee MJ, Rolls ET, Azzopardi P. 1994. Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque. J Neurophysiol 72 (3):1049-1060. (Pubitemid 24294825)
28. Tsunoda K, Yamane Y, Nishizaki M, Tanifuji M. 2001. Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns. Nat Neurosci 4 (8):832-838. (Pubitemid 32702516)
29. von der Malsburg C. 1973. Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14 (2):85-100, PMID: 4786750.
30. Wallis G, Rolls ET. 1997. Invariant Face and Object Recognition in the Visual system. Progress in Neurobiology.