Interactions of motion and form in visual cortex - A neural model

Journal of Physiology Paris

Volumn 104, Issue 1-2, 2010, Pages 61-70

  Beck, Cornelia ^a   Neumann, Heiko ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Chopstick illusion; Feedback; Form; Motion; Neural model; Vision

Indexed keywords

ARTICLE; ILLUSION; IMAGE PROCESSING; MODEL; MOTION; MOVEMENT (PHYSIOLOGY); VISION; VISUAL CORTEX;

ANIMALS; COMPUTER SIMULATION; DEPTH PERCEPTION; HUMANS; MODELS, NEUROLOGICAL; MOTION; MOTION PERCEPTION; NEURONS; OPTICAL ILLUSIONS; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; VISUAL CORTEX; VISUAL PATHWAYS;

EID: 77049118932     PISSN: 09284257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jphysparis.2009.11.005     Document Type: Article

References (34)

1. Anstis S.M. Imperceptible intersections: the chopstick illusion. In: Wiley J. (Ed). AI and the Eye (1990), Wiley and Sons Ltd., London 105-117
2. Bayerl P., and Neumann H. Disambiguating visual motion through contextual feedback modulation. Neural Comput. 16 (2004) 2041-2066
3. Bayerl P., and Neumann H. Disambiguating visual motion by form-motion interaction - a computational model. IJCV 72 (2007) 27-45
4. Beck, C., and Neumann, H., 2009. Area MT pattern motion selectivity by integrating 1D and 2D motion features from V1 - a neural model. Frontiers in Computational Neuroscience. Conference Abstract: Computational and systems neuroscience. doi:10.3389/conf.neuro.10.2009.03.163.
5. Beck C., Ognibeni T., and Neumann H. Object segmentation from motion discontinuities and temporal occlusions - a biologically inspired model. PLoS ONE 3 11 (2008) e3807
6. Berzhanskaya J., Grossberg S., and Mingolla E. Laminar cortical dynamics of visual form and motion interactions during coherent object motion perception. Spat. Vision 20 (2007) 337-395
7. Born R.T., and Bradley D.C. Structure and function of visual area MT. Ann. Rev. Neurosci. 28 (2005) 157-189
8. Born R.T., and Pack C.C. Temporal dynamics of a neural solution to the aperture problem in cortical area MT. Nature 409 (2001) 1040-1042
9. Born R.T., Pack C.C., and Zhao R. Integration of motion cues for the initiation of smooth pursuit eye movements. Prog. Brain Res. 140 (2002) 225-237
10. Eckhorn R., Reitboeck H.J., Arndt M., and Dicke P.W. Feature-linking via synchronization among distributed assemblies: simulation of results from cat cortex. Neural Comput. 2 (1990) 293-307
11. Grossberg S. The complementary brain: unifying brain dynamics and modularity. Trends Cogn. Sci. 4 (2000) 233-246
12. Kawano K., Shidara M., Watanabe Y., and Yamane S. Neural activity in cortical area MST of alert monkey during ocular following responses. J. Neurophysiol. 71 (1994) 2305-2324
13. Kawano, K., Inoue, Y., Takemura, A., Kitama, T., Miles, F.A., 1997. A cortically mediated visual stabilization mechanism with ultra-short latency in primates. In: Thier, P., Karnath, H.-O. (Eds.), Parietal lobe contribution to orientation in 3D space. Springer, Heidelberg, pp. 185-199.
14. Lidén L., and Mingolla E. Monocular occlusion cues alter the influence of terminator motion in the barber pole phenomenon. Vis. Res. 38 (1998) 3883-3898
15. Lidén L., and Pack C.C. The role of terminators and occlusion in motion integration and segmentation: a neural solution. Vis. Res. 39 (1999) 3301-3320
16. Marr D., and Ullman S. Directional selectivity and its use in early visual processing. Proc. Roy. Soc. London B 211 (1981) 151-180
17. Masson G.S., and Castet E. Parallel motion processing for the initiation of short-latency ocular following in humans. J. Neurosci. 22 (2002) 5149-5163
18. Masson G.S., and Stone L.S. From following edges to pursuing objects. J. Neurophysiol. 88 (2002) 2869-2873
19. Mishkin M., Ungerleider L.G., and Macko K.A. Object vision and spatial vision: two central pathways. Trends Neurosci. 6 (1983) 414-417
20. Nowlan S.J., and Sejnowski T.J. Filter selection model for motion segmentation and velocity integration. Opt. Soc. Am. A 11 (1994) 3177-3200
21. Pack C.C., and Born R.T. Cortical mechanisms for the integration of visual motion. In: Basbaum A.I., Kaneko A., Shepherd G.M., and Westheimer G. (Eds). The Senses: A Comprehensive Reference (2008), Academic Press, San Diego 189-218
22. Pack C.C., Gartland A.J., and Born R.T. Integration of contour and terminator signals in visual area MT of alert macaque. J. Neurosci. 24 (2004) 3268-3280
23. Ponce C.R., Lomber S.G., and Born R.T. Integrating motion and depth via parallel pathways. Nat. Neurosci. 2 (2008) 216-223
24. Qian N., Andersen R.A., and Adelson E.H. Transparent motion perception as detection of unbalanced motion signals. III. Modeling. J. Neurosci. 14 (1994) 7381-7392
25. Raudies F., and Neumann H. A model of neural mechanisms in monocular transparent motion perception. J. Physiol. 104 1-2 (2010) 71-83
26. Rust N.C., Mante V., Simoncelli E.P., and Movshon J.A. How MT cells analyze the motion of visual patterns. Nature Neurosci. 9 (2006) 1421-1431
27. Shimojo S., Silverman G.H., and Nakayama K. Occlusions and the solution to the aperture problem for motion. Vis. Res. 29 (1989) 619-626
28. Simoncelli E.P., and Heeger D.J. Model of neural responses in visual area MT. Vis. Res. 38 (1998) 743-761
29. Thielscher A., and Neumann H. Neural mechanisms of cortico-cortical interaction in texture boundary detection: a modeling approach. Neuroscience 122 (2003) 921-939
30. Thielscher A., and Neumann H. Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biol. Cybern. (2008) 10.1007/s00422-008-0211-7
31. Tlapale, E., Masson, G. S., Kornprobst, P., 2008. Motion Integration Modulated by Form Information. In: Perrinet, L.U., Daucé, E. (Eds.), Proceedings of the Second French Conference on Computational Neuroscience, Marseille, 2008, pp. 245-250.
32. Van Santen J.P.H., and Sperling G. Elaborated Reichardt detectors. J. Opt. Soc. Am. A 2 (1985) 300-321
33. Wallach H. Über visuell wahrgenommene Bewegungsrichtung. Psychol. Forsch. 20 (1935) 325-380
34. Weidenbacher U., and Neumann H. Extraction of surface-related features in a recurrent model of V1-V2 interactions. PLoS ONE 4 6 (2009) e5909