Spatial and Temporal Resolution of the Visual System of the Anna’s Hummingbird (Calypte anna) Relative to Other Birds

2019 ◽  
Vol 92 (5) ◽  
pp. 481-495 ◽  
Author(s):  
Benjamin Goller ◽  
Tyee K. Fellows ◽  
Roslyn Dakin ◽  
Luke Tyrrell ◽  
Esteban Fernández-Juricic ◽  
...  
Keyword(s):  
Visual System ◽  
Temporal Resolution ◽  
Calypte Anna

scholarly journals Daily rhythm of vigilance assessed by temporal resolution of the visual system

2000 ◽  
Vol 40 (25) ◽  
pp. 3467-3473 ◽  
Author(s):  
Martin Lotze ◽  
Bernhard Treutwein ◽  
Till Roenneberg
Keyword(s):  
Visual System ◽  
Temporal Resolution ◽  
Daily Rhythm

scholarly journals OCCHIO E VISIONE: MERAVIGLIA DELLA NATURA O PROGETTO DIFETTOSO?

2020 ◽  
Author(s):  
Pier Giorgio Gobbi
Keyword(s):  
Visual System ◽  
Physical Model ◽  
Temporal Resolution ◽  
Human Visual System ◽  
Dynamic Range ◽  
Evolutionary Design ◽  
Human Eye ◽  
Quantitative Estimates ◽  
Chromatic Aberrations

The behavior of the human visual system exhibits some flaws, including monochromatic and chromatic aberrations, finite dynamic range, limited spatial and temporal resolution. Why did it evolve this way? Can it be improved somehow, for example with the support of technology? The answer is obtained from a neuro-physical model developed by the author, which provides quantitative estimates of the optical and visual performances of the human eye, in agreement with experimental records. The conclusion, based on the principle of utility, is that the evolutionary design of the visual system is perfectly tailored for the primary survival needs of our primitive ancestors in daylight illumination, and it can hardly be improved with the help of human technology.

scholarly journals The presence of UV wavelengths improves the temporal resolution of the avian visual system

2010 ◽  
Vol 213 (19) ◽  
pp. 3357-3363 ◽  
Author(s):  
D. Rubene ◽  
O. Hastad ◽  
R. Tauson ◽  
H. Wall ◽  
A. Odeen
Keyword(s):  
Visual System ◽  
Temporal Resolution ◽  
Avian Visual System

scholarly journals Tetrode Recording in the Xenopus laevis Visual System Using Multichannel Glass Electrodes

2021 ◽  
Vol 2021 (11) ◽  
pp. pdb.prot107086 ◽  
Author(s):  
Masaki Hiramoto ◽  
Hollis T. Cline
Keyword(s):  
Visual System ◽  
Temporal Resolution ◽  
Neural Activity ◽  
Visual Experience ◽  
Neuronal Response ◽  
Temporal Structure ◽  
High Temporal Resolution ◽  
Response Properties ◽  
Recording Method ◽  
Plastic Changes

The Xenopus tadpole visual system shows an extraordinary extent of developmental and visual experience–dependent plasticity, establishing sophisticated neuronal response properties that guide essential survival behaviors. The external development and access to the developing visual circuit of Xenopus tadpoles make them an excellent experimental system in which to elucidate plastic changes in neuronal properties and their capacity to encode information about the visual scene. The temporal structure of neural activity encodes a significant amount of information, access to which requires recording methods with high temporal resolution. Conversely, elucidating changes in the temporal structure of neural activity requires recording over extended periods. It is challenging to maintain patch-clamp recordings over extended periods and Ca2+ imaging has limited temporal resolution. Extracellular recordings have been used in other systems for extended recording; however, spike amplitudes in the developing Xenopus visual circuit are not large enough to be captured by distant electrodes. Here we describe a juxtacellular tetrode recording method for continuous long-term recordings from neurons in intact tadpoles, which can also be exposed to diverse visual stimulation protocols. Electrode position in the tectum is stabilized by the large contact area in the tissue. Contamination of the signal from neighboring neurons is minimized by the tight contact between the glass capillaries and the dense arrangement of neurons in the tectum. This recording method enables analysis of developmental and visual experience–dependent plastic changes in neuronal response properties at higher temporal resolution and over longer periods than current methods.

scholarly journals Temporal Resolution and Spectral Sensitivity of the Visual System of Three Coastal Shark Species from Different Light Environments

2010 ◽  
Vol 83 (2) ◽  
pp. 299-307 ◽  
Author(s):  
D. Michelle McComb ◽  
Tamara M. Frank ◽  
Robert E. Hueter ◽  
Stephen M. Kajiura
Keyword(s):  
Visual System ◽  
Spectral Sensitivity ◽  
Temporal Resolution ◽  
Shark Species

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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