News & Events

Contact Information

Business Card

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

Social networks

CiteUlike
Mendeley
SCOPUS
ORCID
Google scholar
ResercherID
G+
FB

model_rog.png

Figure 2 To model spatial integration in the OFR in primates (humans and macaques), we use the tools of statistical inference with the hypothesis that information is represented in a probabilistic fashion. The architecture of the OFR system consists in this model of a stage extracting from the raw image the possible local translation velocities (V1) to represent the local probabilities of translational velocity (MT). These local bits of information are then pooled (MST) to give a single probabilistic representation of possible translational velocities to the oculomotor system, which then controls the eyes' motion as quickly and efficiently as possible to stabilize the image on the retina. The local probabilities may be often described as gaussian probabilities, and the gain response as a function to the signal to noise ratio is then given by a Naka-Rushton curve (Barthélemy et al., 2007).


"la mémoire n’est pas faite pour se rappeler du passé mais pour prédire le futur." (Alain Berthoz , 2010)

welcome: please sign in