Abstract
The mechanisms involved in the cortical processing of large- field motion patterns still remain widely unclear. In particular, the integrative action of, e.g., cells and their receptive fields, their specificity, the topographic mapping of activity patterns, and the reciprocal interareal interaction needs to be investigated. We utilize a recently discovered relative motion illusion as a tool to gain insights into the neural mechanisms that underlie the integration and segregation of such motion fields occurring during navigation, steering and fixation control. We present a model of recurrent interaction of areas V1, MT, and MSTd along the dorsal cortical pathway utilizing a space-variant mapping of flow patterns. In accordance with psychophysical findings, our results provide evidence that recurrent gain control mechanisms together with the non-linear warping of the visual representation are essential to group or disambiguate motion responses. This provides further evidence for the importance of feedback interactions between cortical areas.
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References
Graziano, M.S.A., Andersen, R.A., Snowden, R.J.: Tuning of MST neurons to spiral motions. The Journal of Neuroscience, 14 (1994) 54–67
Duffy, C.J., Wurtz, R.H.: Sensitivity of MST neurons to optic flow stimuli. I. A continuum of response selectivity to large-field stimuli. Journal of Neurophysiolgy, 65 (1991) 1329–1345
Grossberg, S., Mingolla, E., Pack, C.: A neural model of motion perception and visual navigation by cortical area MST. Cerebral Cortex, 9 (1999) 878–895
Pinna, B., Brelstaff, G.J.: A new visual illusion of relative motion. Vis. Res., 40 (2000) 2091–2096
Lappe, M.: A model of the combination of optic flow and extraretinal eye movement signals in primate extrastriate visual cortex Neural Networks, 11 (1998) 397–414
Grossberg, S., Mingolla, E., Viswanathan, L.: Neural dynamics of motion integration and segmentation within and across apertures. Vis. Res., 41 (2001) 2521–2553
Sabatini, S.P., Solari, F., Carmeli, R., Cavalleri, P., Bisio, G.: A physicalist approach to first-order analysis of optic flow fields in extrastriate cortical areas. Proc. ICANN (1999) 274–279
Schwartz, E.L.: Computational anatomy and functional architecture of striate cortex: a spatial mapping approach to perceptual coding, Vis. Res., 20 (1980) 645–669
Schwartz, E.L.: Computational studies of the spatial architecture of primate visual cortex. In A. Peters and K. Rocklund, editors, Cerebral Cortex, 10 (1994) 359–411
Albright, T.D., Desimone, R.: Local precision of visutopic organization in the middle temporal area (MT) of the macaque. Experimental Brain Research, 65 (1987) 582–592
Qian, N., Andersen, R.A., Adelson, E.H.: Transparent motion perception as detection of unbalanced motion signals. I. Psychophysics. The Journal of Neuroscience, 14 (1994) 7357–7366
Bayerl, P.A.J., Neumann, H.: Cortical mechanisms of processing visual flow—Insights from the Pinna-Brelstaff illusion. Workshop Dynamic Perception (2002) in print
Grossberg, S.: How Does a Brain Build a Cognitive Code? Psychological Review, 87 (1980) 1–51
Neumann, H., Sepp, W.: Recurrent V1-V2 interaction in early visual boundary processing Biological Cybernetics, 81 (1999) 425–444
Rodman, H.R., Albright, T.D.: Coding of the visual stimulus velocity in area MT of the macaque. Vis. Res., 27 (1987) 2035–2048
Qian, N., Andersen, R.A., Adelson, E.H.: Transparent motion perception as detection of unbalanced motion signals. III. Modeling. The Journal of Neuroscience, 14 (1994) 7381–7392
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Bayerl, P., Neumann, H. (2002). Neural Mechanisms of Visual Flow Integration and Segregation —Insights from the Pinna-Brelsta. Illusion and Variations of It. In: Bülthoff, H.H., Wallraven, C., Lee, SW., Poggio, T.A. (eds) Biologically Motivated Computer Vision. BMCV 2002. Lecture Notes in Computer Science, vol 2525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36181-2_30
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DOI: https://doi.org/10.1007/3-540-36181-2_30
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