Qu’est ce qu’une image?

(AUTHOR) Hello, I am Laurent Perrinet from the Institute of Neurosciences of la Timone in Marseille, a joint unit from the CNRS and the AMU
(OBJECTIVE) in this short talk, I will be focus in highlighting some key challenges in modelizing visual perception and
(ACKNO) this endeavour involves different techniques and tools ... From the head on, I wish to thanks people who collaborated and in particular .. mostly funded by the ANR bala V1 (hansel wreeiswijk nowak) + ANR TRAJECTORY (o marrre bruno cessac palacios )
LONDON (Jim Bednar, Friston) great thanks to Stéphane for proposing me to present this work
(SHOW TITLE) I am interested in the link between the neural code and the structure of the world. in particular, for vision, I am researching the relation between the functional (in terms of the inferential processes leading to behaviour) organization (anatomy and activity) of low-level visual areas (V1) and the structures of natural scenes, that is of the images that hit the retina and which are relevant to visual perception in general.

so what is visual perception?

... As a consequence, for a tennis player trying to intercept a ball at a speed of $20~m.s^{-1}$, the sensed physical position is $1~m$ behind the true position (as represented here by $ au_s \cdot ec{V}$), while the position at the moment of emitting the motor command will be $.8~m$ ahead of its execution ($ au_m \cdot ec{V}$). * Note that while the actual position of the ball when its image formed on the photoreceptors of the retina hits visual read is approximately at $45$ degrees of eccentricity (red dotted line), the player's gaze is directed to the ball at its present position (red line), in anticipatory fashion. Optimal control directs action (future motion of the eye) to the expected position (red dashed line) of the ball in the future --- and the racket (black dashed line) to the expected position of the ball when motor commands reach the periphery (muscles).

Experimental results