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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
Researcher
http://invibe.net/LaurentPerrinet

Work

Email

<Laurent DOT Perrinet AT univ-amu  DOT fr>

Address

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

Phone

+33.491 324 044

Personal

Email

<Laurent DOT Perrinet AT gmail DOT com>

Mobile

+33 6 19 47 81 20

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inverse.png

Figure 1: Inverse-mapping as a a goal for sensory neural coding. The visible world is modeled as the interaction of a large set of hypothetical physical sources (world model) according to a known model of their interactions ("synthesis"). We will consider that for sensory cortical areas, the goal of the neural representation (and its implementation by the neural code) is to analyze the signal so as to recover at best and as quickly as possible the sources that generated the signal ("analysis") . The analysis may thus be considered as an inverse mapping of the synthesis. A proposed solution for this problem is to infer at best the most probable hidden state.


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