Neural network classifications and correlation analysis of EEG and MEG activity accompanying spontaneous reversals of the Necker cube

Cognitive Brain Research

Volumn 6, Issue 4, 1998, Pages 335-346

  Gaetz, Michael ^a   Weinberg, Hal ^a   Rzempoluck, Edward ^a   Jantzen, K J ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Correlation; Distributed system; EEG; MEG; Neural network; Single trial; Synchrony

Indexed keywords

ADULT; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; ELECTROGRAPHY; FEEDBACK SYSTEM; FEMALE; HUMAN; HUMAN CELL; HUMAN EXPERIMENT; HUMAN TISSUE; INFORMATION PROCESSING; MALE; MATHEMATICAL ANALYSIS; NERVE CELL NETWORK; NORMAL HUMAN; PRIORITY JOURNAL;

ADOLESCENT; ADULT; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; FORM PERCEPTION; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; MOTION PERCEPTION; NEURAL NETWORKS (COMPUTER);

EID: 0031833252     PISSN: 09266410     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0926-6410(97)00038-4     Document Type: Article

References (56)

1. Babich S., Standing L. Satiation effects with reversible figures. Percept. Mot. Skills. 52:1981;203-210.
2. Brown K. Rate of apparent change in a dynamic ambiguous figure as a function of observation time. Am. J. Psychol. 68:1955;358-371.
3. Camp C., Markley R., Danielson J. Necker cube reversals in young, middle-age and elderly females. Percept. Mot. Skills. 54:1982;1215-1218.
4. Cohen L. Perception of reversible figures after brain injury. A.M.A. Arch. Neurol. Psychiatry. 81:1959;765-775.
5. Cohen D., Cuffin N. Demonstration of useful differences between magnetoencephalogram and electroencephalogram. Electroencephalogr. Clin. Neurophysiol. 56:1983;38-51.
6. A. Damasio, H. Damasio, Cortical systems for the retrieval of concrete knowledge: the convergence zone framework, in: C. Koch, J.L. Davis (Eds.), Large Scale Neuronal Theories of the Brain, The MIT Press, Cambridge, 1995, pp. 61-74.
7. Desmedt J., Tomberg C. Transient phase-locking of 40 Hz electrical oscillations in prefrontal and parietal human cortex reflects the process of conscious somatic perception. Neurosci. Lett. 168:1994;126-129.
8. Eckhorn R., Bauer R., Jordan W., Brosch M., Kruse W., Munket al. Coherent oscillations: a mechanism of feature linking in the cat visual cortex? Biol. Cybem. 60:1988;121-130.
9. R. Eckhorn, H. Reitboeck, M. Arndt, P. Dicke, A neural network for feature linking via synchronous activity: results from cat visual cortex and from simulations, in: R.M.J. Cotterill (Ed.), Models of Brain Function, Cambridge Univ. Press, Cambridge, 1989, pp. 225-272.
10. R. Eckhorn, T. Schanze, M. Brosch, W. Salem, R. Bauer, Stimulus-specific synchronizations in cat visual cortex: multiple microelectrode and correlation studies from several cortical areas, in: E. Basar, T.H. Bullock (Eds.), Induced Rhythms in the Brain, Birkhauser, Boston, 1992, pp. 47-80.
11. G. Edelman, The Remembered Present, Basic Books, New York, 1989.
12. Edelman G. Neural Darwinism: selection and reentrant signalling in higher brain function. Neuron. 10:1993;115-125.
13. Ellis S., Stark L. Eye movements during the viewing of Necker cubes. Perception. 7:1978;575-581.
14. Engel A., Konig P., Gray C., Singer W. Stimulus-dependent neuronal oscillations in cat visual cortex: inter-columnar interaction as determined by cross-correlation analysis. Eur. J. Neurosci. 2:1990;588-606.
15. Finkel L.H., Edelman G.M. Integration of distributed cortical systems by reentry: a computer simulation of interactive functionally segregated visual areas. J. Neurosci. 9:1989;3188-3208.
16. Gilbert C. Horizontal integration in the neocortex. Trends Neurosci. 8:1985;160-165.
17. Gilbert C., Wiesel T. Clustered intrinsic connections in cat visual cortex. J. Neurosci. 3:1983;1116-1133.
18. Gilbert C., Wiesel T. Columnar specificity of intrinsic horizontal and cortico-cortical connections in cat visual cortex. J. Neurosci. 9:1989;2432-2442.
19. Girgus J., Rock I., Egatz R. The effect of knowledge of reversibility on the reversibility of ambiguous figures. Percept. Psychophys. 22:1977;550-556.
20. Gomez C., Argandona E.D., Solier R.G., Angulo J.C., Vazquez M. Timing and competition in networks representing ambiguous figures. Brain Cogn. 29:1995;103-114.
21. Gray C., Konig P., Engel A., Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature. 338:1989;334-337.
22. Gray C., Engel A., Konig P., Singer W. Stimulus-dependent neuronal oscillations in cat visual cortex: receptive field properties and feature dependence. Eur. J. Neurosci. 2:1990;607-619.
23. Gray C., Singer W. Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. U.S.A. 86:1989;1698-1702.
24. Hubel D., Wiesel T. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. (Lond.). 160:1962;106-154.
25. Ingling C.R., Grigsby S.S. Perceptual correlates of magnocellular and parvocellular channels: seeing form and depth in after images. Vision Res. 30:1990;823-828.
26. Joliot M., Ribary U., Llinas R. Human oscillatory brain activity near 40 Hz co-exists with cognitive temporal binding. Proc. Natl. Acad. Sci. U.S.A. 91:1994;11748-11751.
27. Kawabata N. Attention and depth perception. Perception. 15:1986;563-572.
28. Kreiter A.K., Singer W. Oscillatory neuronal responses in the visual cortex of the awake macaque monkey. Eur. J. Neurosci. 4:1992;369-375.
29. Livingstone M., Hubel D. Segregation of form, colour movement, and depth: anatomy, physiology, and perception. Science. 240:1988;740-749.
30. R. Llinas, Oscillations in the CNS neurons: a possible role for cortical interneurons in the generation of 40 Hz oscillations, in: E. Basar, T.H. Bullock (Eds.), Induced Rhythms in the Brain, Birkhauser, Boston, 1992, pp. 29-46.
31. Meenan J.P., Miller L.A. Perceptual flexibility after frontal or temporal lobectomy. Neuropsychologia. 32:1994;1145-1149.
32. L. Necker, Observations on some remarkable phenomenon seen in Switzerland: and an optical phenomenon which occurs on viewing a figure of a crystal or geometrical solid, Philos. Magazine J. Sci. (Third Series), 1 (1832) 329-337.
33. O'Donnell B.F., Hendler T., Squires N.K. Visual evoked potentials to illusory reversals of the Necker cube. Psychophysiology. 25:1988;137-143.
34. Petersen S.E., Robinson D.L., Morris J.D. Contributions of the pulvinar to visual spatial attention. Neuropsychologia. 25:1987;97-105.
35. Petry H. Magno and parvo visual channels and the subjective Necker cube. Vision Res. 33:1993;845-847.
36. Pfurtscheller G., Flotzinger D., Neuper C. Differentiation between finger, toe and tongue movement in man based on 40 Hz EEG. Electroencephalogr. Clin. Neurophysiol. 90:1994;456-460.
37. Pfurtscheller G., Neuper C., Kalcher J. 40-Hz oscillations during motor behavior in man. Neurosci. Lett. 164:1993;179-182.
38. M.I. Posner, Attention in cognitive neurosciences: an overview, in: M.S. Gazzaniga (Ed.), The Cognitive Neurosciences, The MIT Press, Cambridge, 1995, pp. 615-624.
39. M.I. Posner, M. Rothbart, Constructing neuronal theories of mind, in: C. Koch, J.L. Davis (Eds.), Large Scale Neuronal Theories of the Brain, The MIT Press, Cambridge, 1995, pp. 183-199.
40. Reisberg D., O'Shaughnessy M. Diverting subjects' concentration slows figure reversals. Perception. 13:1984;461-468.
41. Riani M., Olivia G., Selis G., Ciurlo G., Rossi P. Effect of luminance on perceptual alternation of ambiguous patterns. Percept. Mot. Skills. 58:1984;267-274.
42. Ricci C., Blundo C. Perception of ambiguous figures after focal brain lesions. Neuropsychologia. 28:1990;1163-1173.
43. Rock I., Gopnik A., Hall S. Do young children reverse ambiguous figures? Perception. 23:1994;635-644.
44. Rock I., Mitchener K. Further evidence of failure of reversal of ambiguous figures by uninformed subjects. Perception. 21:1992;39-45.
45. Schulman G. Attentional effects on Necker cube adaptation. Can. J. Exp. Psychol. 47:1993;540-547.
46. Scotto M., Olivia G., Tuccio M. Eye movements and reversal rates of ambiguous patterns. Percept. Mot. Skills. 70:1990;1059-1073.
47. Specht D.F. A general regression neural network. IEEE Trans. Neural Networks. 2:1991;568-576.
48. Sporns O., Tononi G., Edelman G. Modelling perceptual grouping and figure-ground segregation by means of active reentrant connections. Proc. Natl. Acad. Sci. U.S.A. 88:1991;129-133.
49. H.L. Teuber, The riddle of frontal lobe function in man, in: J.M. Warren, K. Akert (Eds.), The Frontal Granular Cortex and Behaviour, McGraw-Hill, New York, 1964.
50. Tononi G., Sporns O., Edelman G. Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system. Cereb. Cortex. 2:1992;310-335.
51. Van Essen D., Anderson C., Fellman D. Information processing in the primate visual system: an integrated systems approach. Science. 255:1992;419-423.
52. von der Malsburg C., Schneider W. A neural cocktail party processor. Biol. Cybem. 54:1986;29-40.
53. Vrba J., Betts K., Burbank M., Cheung T., Fife A., Hald G.et al. Whole cortex, 64 channel SQUID biomagnetometer system. IEEE Trans. Appl. Supercond. 3:1993;1878-1882.
54. P. Wasserman, Advanced Methods in Neural Computing, Van Nostrand-Reinhold, New York, 1993.
55. G.K. Yacorzynski, Organic mental disorders, in: B.B. Wolman (Ed.), Handbook of Clinical Psychology, McGraw-Hill, New York, 1965.
56. Zeki S., Shipp S. The functional logic of cortical connections. Nature. 335:1988;311-317.