By Roth I., Hebert C.
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Additional info for CXCR1 and CXCR2
Creation of ‘higher-level’ units Allowing for interactions between local filters is just only one way to make the visual system sensitive to higher-order and long-range dependences. Alternatively, new units could be created that are tuned to more complex image features. qxd 9/8/2004 14 6:55 PM Page 14 HANDBOOK OF COGNITION similar response properties to simple cells but with phase-independent responses to oriented gratings. Thus, they respond to a grating with a particular orientation and spatial frequency no matter how it is positioned relative to the receptive field.
Recent single-cell recordings in IT cortex have provided evidence for such a mechanism (Baker, Behrmann, & Olson, 2002). g. Gobet, 1998). A final example of bounded flexibility in the visual system is the effect of attentional modulation. Behavioural paradigms have shown that it is possible to attend to some features while ignoring others, and these effects are accompanied by changes in neuronal responsiveness and maybe even selectivity (Desimone & Duncan, 1995; Treue, 2001). g. Schoups, Vogels, Qian, & Orban, 2001).
The tuning of higher-level neurons is defined in a representational space determined by psychologically meaningful dimensions (Shepard, 2001). Edelman (1999), among others, proposed a specific class of mathematical functions, radial basis functions (RBFs), to characterize the tuning of high-level neurons. RBFs have a maximum response for an optimal stimulus. Their responses to other stimuli is determined by their distance of these stimuli from the optimal stimulus in the psychological space. Each function is characterized by only one parameter that determines the position of its optimal stimulus.