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Laurent Perrinet - Team InViBe
Institut de Neurosciences de la Timone UMR 7289
Aix Marseille Université, CNRS, 13385 cedex 5, Marseille, France
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http://invibe.net/LaurentPerrinet

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<Laurent DOT Perrinet AT univ-amu  DOT fr>

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Institut de Neurosciences de la Timone (UMR 7289)
Aix Marseille Université, CNRS
Faculté de Médecine - Bâtiment Neurosciences
27, Bd Jean Moulin
13385 Marseille Cedex 05
France

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+33.491 324 044

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<Laurent DOT Perrinet AT gmail DOT com>

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+33 6 19 47 81 20

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v1_tiger.gif

Figure 1: Progressive reconstruction of the spiking image in the primary visual cortex. To illustrate that the visual information is contained in the spike code, we show the theoretical reconstruction of the Tiger image using the algorithm presented in the paper. The different edges are extracted using a sparse coding scheme that grabs most salient information first. This reconstruction would correspond to the reconstrucion of the image in an afferent area using the spiking information only. This particular reconstruction on the 256x256 image used a Steerable pyramid with 8 different orientations as the linear transform. The theoretical compression rate compares to JPEG at slow bpp Fig. 2 and is more efficient than the retina model (compare with Lena).


"The supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience" often paraphrased as "Theories should be as simple as possible, but no simpler." Albert Einstein (1933)

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