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We can use the model described above to test the prediction that the population response to a localized, oriented stimulus is determinable from independent measures (maps) of orientation and retinotopic preference. , the response depends on the specific combination of position and orientation), then the model will be a poor characterization of the population responses. This is because the model assumes that the population response can be determined from independent measures of position and orientation preference.

Can. J. Zool. 80, 1678–1689 (2002) 20. : Continuous conversion of neuron phenotype in hydra. Trends Genetics 8, 279–284 (1992) 21. : Pacemaker hierarchies controlling the behaviour of hydras. Nature 199, 1174–1175 (1963) 22. : The light response and the rhythmic potentials in Hydra. Proc. Natl. Acad. Sci. USA 48, 1376–1382 (1962) 23. : Extraocular photosensitivity in invertebrates. In: Taddei-Ferretti, C. ) Biophysics of Photoreception, pp. 245–262. World Scientific, Singapore (1997) 24. : Photoreceptors of cnidarians.

The final result is a broad but patchy activation (Fig. 2I). This rule of combination provided good fits of the responses. The maps of activation predicted by the model (Fig. 3C) resemble the actual responses (Fig. 3B). , n = 7). From the model fit we can estimate the point spread function of area V1. A. Frazor, A. Benucci, and M. Carandini Fig. 2. Model of retinotopy (A) The gray square depicts the CRT monitor on which is presented a grating stimulus viewed through an elongated aperture. (B) The black region represents the projection of the imaged region of cortex on the CRT monitor.

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Attacking Digital Watermarks by Sion, Atallah

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