About this Research Topic
The prominence of CSF in the area of psychophysical and physiological studies of vision is based on several facts: (1) Luminance contrast, not luminance itself, that is the critical input to most visual mechanisms; (2) Linear systems analysis, that relates the CSF to the receptive field properties of neurons. CSFs measured in many species, from single neurons to full observers, exhibit a characteristic low- or band-pass shape; (3) The CSF is considered as the front-end filter for standard observer models in complex visual tasks; (4) Contrast sensitivity deficits accompany many visual neuro-pathologies. As a clinical measure, CSF predicts functional vision better than other visual diagnostics.
Despite the importance of CSF, the precise assessment with conventional methods is very time consuming. Measuring the full CSF in the laboratory typically requires 250-500 trials (15-30 minutes). The testing time becomes prohibitive for measuring multiple CSFs (e.g., for different eyes) in laboratory settings, not to mention for clinical applications. There have been many efforts devoted to increasing the efficiency of CSF measurements in recent years. One good example is the qCSF method, a Bayesian adaptive psychophysical procedure for efficient and precise CSF assessment. Other methods based on optokinetic nystagmus, smooth pursuit eye tracking, or manually tracing the visible boundary of stimuli have also shown promising improvements in measurement efficiency.
The aim of this Research Topic is to extend the knowledge related to CSF by assembling a collection of theoretical and clinical oriented research articles. We welcome Original Research, Review, Mini-Review, Case Report and Perspective articles related to:
• Empirical studies on spatial and/or temporal CSF
• Computational models of spatial and/or temporal CSF.
• CSF deficits in clinical populations, including but not limited to amblyopia, myopia, glaucoma, age-related macular degeneration, diabetic retinopathy
• Development and applications of new CSF tests.
Prof. Peter Bex and Prof. Zhong-Lin Lu holds shares in Adaptive Sensory Technology, Inc. and have patents related to the qCSF technology. The other Topic Editor declare no competing interests with regards to the RT subject.
Keywords: Contrast Sensitivity Function, Functional Vision, Spatial Frequency, Temporal Frequency, Sensitivity
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