2012
DOI: 10.1152/jn.00530.2011
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Object representation and distance encoding in three-dimensional environments by a neural circuit in the visual system of the blowfly

Abstract: Three motion-sensitive key elements of a neural circuit, presumably involved in processing object and distance information, were analyzed with optic flow sequences as experienced by blowflies in a three-dimensional environment. This optic flow is largely shaped by the blowfly's saccadic flight and gaze strategy, which separates translational flight segments from fast saccadic rotations. By modifying this naturalistic optic flow, all three analyzed neurons could be shown to respond during the intersaccadic inte… Show more

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Cited by 29 publications
(59 citation statements)
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“…(2) Besides detection of self-movement (Krapp, 2000), LPTCs are thought to be involved in spatial vision by extracting distances from translational optic flow during intersaccadic intervals in free-flying flies Karmeier et al, 2006;Kern et al, 2005;Kern et al, 2006;Liang et al, 2008;Liang et al, 2011;Liang et al, 2012). Because stride-coupled rotations are likely to affect the responses of LPTCs, they might impair the acquisition of spatial information.…”
Section: Research Articlementioning
confidence: 99%
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“…(2) Besides detection of self-movement (Krapp, 2000), LPTCs are thought to be involved in spatial vision by extracting distances from translational optic flow during intersaccadic intervals in free-flying flies Karmeier et al, 2006;Kern et al, 2005;Kern et al, 2006;Liang et al, 2008;Liang et al, 2011;Liang et al, 2012). Because stride-coupled rotations are likely to affect the responses of LPTCs, they might impair the acquisition of spatial information.…”
Section: Research Articlementioning
confidence: 99%
“…Candidate neurons that might be involved are LPTCs, such as the figure detecting cells (FD cells) (Egelhaaf, 1985a;Egelhaaf, 1985b;Liang et al, 2012) and the LPTCs, which have already been mentioned, that are most sensitive to wide-field motion. However, the most challenging demand for a network comparing edge velocities is the assignment of the corresponding edges to an object, especially in the presence of multiple objects and background structures in the environment.…”
Section: Research Articlementioning
confidence: 99%
“…Retinal bar expansion velocity increases with increasing nearness of the fly to the bar and might thus be extracted by comparing the retinal velocity of the bar鈥檚 right and left edges (Kress and Egelhaaf, 2014). Here, we tested to what extent this simple computation might be approximated by comparing the responses of the ipsi- and contralateral HSE cells, which are known to represent nearness information about objects during intersaccadic flight phases (Kern et al, 2005; Karmeier et al, 2006; Liang et al, 2008, 2012). …”
Section: Resultsmentioning
confidence: 99%
“…To reconstruct the visual input encountered by the freely walking flies during the approach to the bar, we combined the fly鈥檚 head position and orientation (Figure 1B), the respective position of the bar and the background on the projection screen as well as the interior appearance of the walking arena (Figure 1A) in a computer model created in Open Inventor 1 . These data were used to render the ego-perspective stimulus movies presented on our panoramic LED arena, FliMax (for more information about the rendering procedure see: Lindemann et al, 2003; Geurten et al, 2012; Liang et al, 2012). The stimuli were either shaped exclusively by self-induced image shifts (stationary stimulus condition) or a combination of self-produced and external motion cues of the bar (moving bar condition) or of the textured background (moving background condition).…”
Section: Methodsmentioning
confidence: 99%
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