scholarly journals Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes

10.1167/7.8.6 ◽  
2007 ◽  
Vol 7 (8) ◽  
pp. 6 ◽  
Author(s):  
Thomas Wachtler ◽  
Eizaburo Doi ◽  
Te- Won Lee ◽  
Terrence J. Sejnowski
Keyword(s):  
Natural Scenes ◽  
Cone Mosaic ◽  
Retinal Cone

Parafoveal retinal cone mosaic imaging in children with ultra-compact switchable SLO/OCT handheld probe (Conference Presentation)

2016 ◽  
Author(s):  
Francesco LaRocca ◽  
Derek Nankivil ◽  
Theodore B. DuBose ◽  
Cynthia A. Toth ◽  
Sina Farsiu ◽  
...  
Keyword(s):  
Cone Mosaic ◽  
Retinal Cone

Directional imaging of the retinal cone mosaic

2004 ◽  
Vol 29 (9) ◽  
pp. 968 ◽  
Author(s):  
Brian Vohnsen ◽  
Ignacio Iglesias ◽  
Pablo Artal
Keyword(s):  
Cone Mosaic ◽  
Retinal Cone

scholarly journals Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes

2003 ◽  
Vol 15 (2) ◽  
pp. 397-417 ◽  
Author(s):  
Eizaburo Doi ◽  
Toshio Inui ◽  
Te-Won Lee ◽  
Thomas Wachtler ◽  
Terrence J. Sejnowski
Keyword(s):  
Visual System ◽  
Receptive Fields ◽  
Independent Component ◽  
Natural Images ◽  
Natural Scenes ◽  
Subsequent Stage ◽  
Type I ◽  
Sensory Signals ◽  
Cone Mosaic ◽  
Unsupervised Neural Network

Neurons in the early stages of processing in the primate visual system efficiently encode natural scenes. In previous studies of the chromatic properties of natural images, the inputs were sampled on a regular array, with complete color information at every location. However, in the retina cone photoreceptors with different spectral sensitivities are arranged in a mosaic. We used an unsupervised neural network model to analyze the statistical structure of retinal cone mosaic responses to calibrated color natural images. The second-order statistical dependencies derived from the covariance matrix of the sensory signals were removed in the first stage of processing. These decorrelating filters were similar to type I receptive fields in parvo- or konio-cellular LGN in both spatial and chromatic characteristics. In the subsequent stage, the decorrelated signals were linearly transformed to make the output as statistically independent as possible, using independent component analysis. The independent component filters showed luminance selectivity with simple-cell-like receptive fields, or had strong color selectivity with large, often double-opponent, receptive fields, both of which were found in the primary visual cortex (V1). These results show that the “form” and “color” channels of the early visual system can be derived from the statistics of sensory signals.

scholarly journals Retinal cone mosaic imaged with transverse scanning optical coherence tomography

2006 ◽  
Vol 31 (12) ◽  
pp. 1821 ◽  
Author(s):  
Michael Pircher ◽  
Bernhard Baumann ◽  
Erich Götzinger ◽  
Christoph K. Hitzenberger
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Cone Mosaic ◽  
Retinal Cone

Meaning of Visualizing Retinal Cone Mosaic on Adaptive Optics Images

2015 ◽  
Vol 159 (1) ◽  
pp. 118-123.e1 ◽  
Author(s):  
Julie Jacob ◽  
Michel Paques ◽  
Valérie Krivosic ◽  
Bénédicte Dupas ◽  
Aude Couturier ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Cone Mosaic ◽  
Retinal Cone

Long-Term Retinal Cone Survival and Delayed Alteration of the Cone Mosaic in a Transgenic Mouse Model of Stargardt-Like Dystrophy (STGD3)

2014 ◽  
Vol 55 (1) ◽  
pp. 424 ◽  
Author(s):  
Sharee Kuny ◽  
Marc-André Filion ◽  
Miyoung Suh ◽  
Frédéric Gaillard ◽  
Yves Sauvé
Keyword(s):  
Mouse Model ◽  
Transgenic Mouse ◽  
Transgenic Mouse Model ◽  
Cone Mosaic ◽  
Retinal Cone
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