![]() review classical psychophysical and neurophysiological studies on color and form perception from the perspective of recent developments in population coding. At later processing stages, mechanisms emerge that are able to combine information coming from different sources. Moutoussis revisits the classical view that at an early stage, form is processed by several, independent systems that interact with each other, each one having different tuning characteristics in color space. Population Coding of Color in Early Visual Cortex We expect that the collection of articles will be attractive to the community of researchers whose work straddles the boundary between the two visual perception fields-of color and form perception, as well as to the wider community interested in integrative/systems neuroscience. These different topics are brought together in the present E-Book. Therefore, we should not be surprised that integration of color and form appear at different levels and in various domains, from integration of color and orientation, over dynamically filling in (or the watercolor effect), to higher-order processes, such as implicit associations of color and shape in aesthetic judgments and color constancy for 3D objects. ![]() ![]() This means that the neural architecture, as understood today, enables a broad variety of perceptual integration functions. argue that neuroscience has moved on to accommodate broadband selectivity and population coding of sensory information, as well as lateral and feedback connections, enabling context-selective tuning of receptive fields. In the present volume, whereas Moutoussis presents a contemporary version of this classical view, Rentzeperis et al. This question has taken a different form today. So the question of how color and form perception are related was simply: At what level of processing do chromatic and achromatic features come together? In this cascade, color and features, such as orientation of achromatic contour segments, are initially separate ( Zeki, 1978). For many years, the dominating stance in neuroscience was that visual information processing is characterized by feature analysis ( Hubel and Wiesel, 1959), followed by convergence and synthesis in a cascade of information processing stages ( Hubel and Livingstone, 1987).
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