A distributed code for colour in natural scenes derived from centre-surround filtered cone signals

• Main Authors: Christian Johannes Kellner, Thomas eWachtler
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2013-09-01
• Series: Frontiers in Psychology
• Subjects: Color Vision; Visual Cortex; efficient coding; natural image statistics; population code; Sparse Coding
• Online Access: http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00661/full

In the retina of trichromatic primates, chromatic information is encoded in an opponent fashion and transmitted to the lateral geniculate nucleus (LGN) and visual cortex via parallel pathways. Chromatic selectivities of neurons in the LGN form two separate clusters, corresponding to two classes of cone opponency. In the visual cortex, however, the chromatic selectivities are more distributed, which is in accordance with a population code for colour. Previous studies of cone signals in natural scenes typically found opponent codes with chromatic selectivities corresponding to two directions in colour space. Here we investigated how the nonlinear spatiochromatic filtering in the retina influences the encoding of colour signals. Cone signals were derived from hyperspectral images of natural scenes and pre-processed by centre-surround filtering and rectification, resulting in parallel ON and OFF channels. Independent Component Analysis on these signals yielded a highly sparse code with basis functions that showed spatio-chromatic selectivities. In contrast to previous analyses of linear transformations of cone signals, chromatic selectivities were not restricted to two main chromatic axes, but were more continuously distributed in colour space, similar to the population code of colour in the early visual cortex. Our results indicate that spatiochromatic processing in the retina leads to a more distributed and more efficient code for natural scenes.