A neuronal circuitry for relative movement discrimination by the visual system of the fly

1981 ◽  
Vol 68 (9) ◽  
pp. 443-446 ◽  
Author(s):  
T. Poggio ◽  
W. Reichardt ◽  
K. Hausen
Keyword(s):  
Visual System ◽  
Relative Movement ◽  
Neuronal Circuitry ◽  
Movement Discrimination

Figure-ground discrimination by relative movement in the visual system of the fly

1979 ◽  
Vol 35 (2) ◽  
pp. 81-100 ◽  
Author(s):  
Werner Reichardt ◽  
Tomaso Poggio
Keyword(s):  
Visual System ◽  
Relative Movement

Figure-ground discrimination by relative movement in the visual system of the fly

1983 ◽  
Vol 46 (S1) ◽  
pp. 1-30 ◽  
Author(s):  
Werner Reichardt ◽  
Tomaso Poggio ◽  
Klaus Hausen
Keyword(s):  
Visual System ◽  
Relative Movement

Peripheral Movement, Induced Movement, and Aftereffects from Induced Movement

Perception ◽  
1981 ◽  
Vol 10 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Anthony H Reinhardt-Rutland
Keyword(s):  
Visual Field ◽  
Visual System ◽  
Lateral Inhibition ◽  
Static Field ◽  
Relative Movement ◽  
Partial Explanation ◽  
Peripheral Location

Substantial rotatory induced movement and aftereffects associated with induced movement were observed in a large static patterned disc bounded at its periphery by a rotating patterned annulus. The area of the annulus was less than one tenth that of the disc, so its peripheral location seemed to be important in eliciting these phenomena. This was confirmed in two experiments comparing a peripheral annulus and a relatively central annulus in their ability to elicit induced movement and aftereffects in the same large static field. Aspects of the vection (induced self-movement) phenomenon may have been involved in generation of induced movement. This suggested that the motion-inducing properties of the peripheral annulus might have derived from: (i) its eccentric location in the perceiver's visual field; or (ii) its location with regard to the display itself. Two further experiments showed that (ii) was important for the elicitation of both induced movement and the aftereffects, and (i) was important for the elicitation of induced movement. Neurons responsive to relative movement in conjunction with lateral inhibition may provide a partial explanation for these effects. However, they do not explain why the visual system can assign considerable movement to a large static field under the conditions of these experiments.

Author response for "The brain of the African wild dog. IV . The visual system"

2020 ◽  
Author(s):  
Samson Chengetanai ◽  
Adhil Bhagwandin ◽  
Mads F. Bertelsen ◽  
Therese Hård ◽  
Patrick R. Hof ◽  
...  
Keyword(s):  
Visual System ◽  
Author Response ◽  
African Wild Dog ◽  
Wild Dog ◽  
The Brain

Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

1995 ◽  
Vol 53 ◽  
pp. 642-643
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Image Processing ◽  
Visual System ◽  
High Precision ◽  
Image Data ◽  
Processing Technology ◽  
Output Data ◽  
Contrast Resolution ◽  
Pixel Intensity ◽  
Data Reading ◽  
Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

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