2020
From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Des illusions aux hallucinations visuelles: une porte sur la perception
Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …
2019
Learning where to look: a foveated visuomotor control model
In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …
Should I stay or should I go? Humans adapt to the volatility of visual motion properties, and know about it
Animal behavior must constantly adapt to changes, for example when the state of an environmental context changes unexpectedly. For an …
Des illusions aux hallucinations visuelles: une porte sur la perception
Les objectifs sont : – mieux comprendre la fonction de la perception visuelle en explorant certaines limites ; – mieux comprendre l’importance de l’aspect dynamique de la perception ; – mieux comprendre le rôle de l’action dans la perception.
Should I stay or should I go? Adaption of human observers to the volatility of visual inputs
Animal behavior has to constantly adapt to changes, for instance when unexpectedly switching the state of an environmental context. For …
From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
From the retina to action: Predictive processing in the visual system
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Should I stay or should I go? Adaption of human observers to the volatility of visual inputs
See the final publication @ Pasturel, Montagnini and Perrinet (2020) previous talk @ LAW, Lyon previous talk @ INVIBE FEST, Paris previous talk @ Brain workshop, Marseille next talk @ CAUSAL Kick-off, Marseille
Rencontre avec les collégiens marseillais
Le jeudi 10 janvier 2019, je suis venu échanger au côté de Serge Dentin autour de films traitant du rapport fiction/réel, des illusion …
2018
La modélisation biomorphique de la perception visuelle
La modélisation biomorphique de la perception visuelle in “La modélisation de la genèse physico-mathématique du vivant” BIOMORPHISME ET CREATION ARTISTIQUE – Session 3 Date
11 Octobre 2018 Atelier
Séminaire/workshop organisé dans le cadre du projet Biomorphisme. Approches sensibles et conceptuelles des formes du vivant http://lesa.univ-amu.fr/?q=node/391 http://centregranger.cnrs.fr Location
Bâtiment Egger, dans la salle E 215 (2ème étage côté voie ferrée) - 3 avenue R. Schuman - Aix-en-Provence Visuels
HTML Organisation
Intervention fête de la science 2018
FÊTE DE LA SCIENCE 2018 : Alcazar / MERLAN L’Association Polly Maggoo http://www.pollymaggoo.org/ met en place tout le long de l’année, des actions de culture scientifique et artistique en direction du grand public et des lycées, au cours desquelles l’association programme des films à caractère scientifique. Les projections se déroulent en présence de chercheurs et/ou de cinéastes dans la perspective d’un développement de la culture cinématographique et scientifique en direction des publics scolaires.
Principles and psychophysics of Active Inference in anticipating a dynamic, switching probabilistic bias
See the final publication @ Pasturel, Montagnini and Perrinet (2020) previous talk @ LAW, Lyon previous talk @ INVIBE FEST, Paris next talk @ LACONEU, Chile next talk @ CAUSAL Kick-off, Marseille next talk @ NeuroFrance, Marseille
Estimating and anticipating a dynamic probabilistic bias in visual motion direction
See the final publication @ Pasturel, Montagnini and Perrinet (2020) previous talk @ LAW, Lyon next talk @ Brain workshop, Marseille next talk @ LACONEU, Chile next talk @ CAUSAL Kick-off, Marseille next talk @ NeuroFrance, Marseille
Expériences autour de la perception de la forme en art et science
Meetup Art et Neurosciences Quoi
Meetup Art et Neurosciences Qui
Association NeuroNautes Quand
25 Janvier 2018 Où
Salle des voutes campus Saint Charles Support visuel
https://laurentperrinet.github.io/sciblog/files/2018-01-25_meetup-neuronautes.html (notes: la présentation peut mettre un certain temps à charger. Une fois que le titre apparait, appuyer sur la touche “F” pour mettre en plein écran)
2017
Participation au jury
FESTIVAL INTERFÉRENCES Cinéma Documentaire et Débat Public Le collectif Scènes Publiques composé de citoyens, chercheurs et cinéastes, organise la deuxième édition du Festival Interférences du 8 au 18 novembre 2017 à Lyon. J’ai eu la chance de pouvoir participer au jury autour de documentaires avec un regard scientifiques. Une occasion aussi de parler du métier de chercheur.
Date
17 et 18 Novembre 2017 Location
Lyon Programmation
http://www.lacitedoc.com/interferences-programmation
What dynamic neural codes for efficient visual processing
This seminar is an exercise to introduce the AMU masters into the format of international conferences. As such, we will try to …
2016
Participation au jury et entretien avec Clara Delmon
RENCONTRES INTERNATIONALES SCIENCES & CINÉMAS cinéma les Variétés L’Association Polly Maggoo http://www.pollymaggoo.org/ programme la 10e édition des RENCONTRES INTERNATIONALES SCIENCES & CINÉMAS (RISC) à Marseille, au cours desquelles l’association programme des films à caractère scientifique. Les projections se déroulent en présence de chercheurs et/ou de cinéastes dans la perspective d’un développement de la culture cinématographique et scientifique en direction des publics scolaires. Ce dimanche 20 novembre, je suis venu échanger au côté de Serge Dentin et Caroline Renard (Maître de conférences en études cinématographiques à Aix-Marseille Université), autour de films traitant du rapport fiction/réel, de la mémoire, et du temps.
The flash-lag effect as a motion-based predictive shift
Based on Perrinet et al, 2012 and Khoei et al, 2013 See a followup in Khoei et al, 2017
Reinforcement contingencies modulate anticipatory smooth eye movements
Natural environments potentially contain several interesting targets for goal-directed behavior. Thus sensorimotor systems need to …
Categorization of microscopy images using a biologically inspired edge co-occurrences descriptor
See a followup in Perrinet and Bednar, 2015
Eye movements as a model for active inference
See the final publication @ Pasturel, Montagnini and Perrinet (2020) next talk @ INVIBE FEST, Paris next talk @ Brain workshop, Marseille next talk @ LACONEU, Chile next talk @ CAUSAL Kick-off, Marseille next talk @ NeuroFrance, Marseille
Modelling the dynamics of cognitive processes: from the Bayesian brain to particles
See a followup in Perrinet et al, 2012
Les illusions visuelles, un révélateur du fonctionnement de notre cerveau
Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …
Les illusions visuelles, un révélateur du fonctionnement de notre cerveau
Ce lundi 25 avril de 9h à 12h, je suis venu échanger au côté de Serge Dentin autour de films traitant du rapport fiction/réel, des …
2015
Motion-based prediction with neuromorphic hardware
We stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living …
Motion-based prediction with neuromorphic hardware
We stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living …
2014
Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
see Kaplan and al, 2014
WP5 - Demo 1.3 : Spiking model of motion-based prediction
The question how the visual system is able to create a coherent representation of a rapidly changing environment in the presence of …
Axonal delays and on-time control of eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
2013
Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps
Together with Bernhard Kaplan, we talked about how we aim at “compiling” a predictive motion-based approach as a spiking neural networks and then as a parallel wafer systems in the BrainscaleS project (Demo 1, Task4). (private to the consortium: https://brainscales.kip.uni-heidelberg.de/internal/jss/AttendMeeting?m=showMeetingInfoPage&meetingID=52 https://brainscales.kip.uni-heidelberg.de/internal/jss/AttendMeeting?m=showAgenda&meetingID=52 including copies of the slides)
Edge co-occurrences and categorizing natural images
See a followup in Perrinet and Bednar, 2015
Why methods and tools are the key to artificial brain-like systems
This session aims at presenting new ideas that emerged during the first years of BrainScaleS. Indeed, the collaborations that were …
2012
Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
Grabbing, tracking and sniffing as models for motion detection and eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
Motion-based prediction is sufficient to solve the aperture problem
In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …
2011
Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
Propriétés émergentes d'un modèle de prédiction probabiliste utilisant un champ neural
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
2010
Probabilistic models of the low-level visual system: the role of prediction in detecting motion
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
Diffraction monochromatique, spectre audiographique
En perception, les neurones « parlent » tous en même temps par de brèves impulsions électrochimiques, générant un mélange de signaux, …
Models of low-level vision: linking probabilistic models and neural masses
see this more recent talk @ UCL, London
2009
Reading out the dynamics of lateral interactions in the primary visual cortex from VSD data
Short presentation of a large moving pattern elicits an ocular following response that exhibits many of the properties attributed to …
Peut-on parler d'intelligence mécanique?
Nous parlerons de cette partie "mécanique" du cerveau animal ou humain qui permet de percevoir les mouvements et de … …
Control of the temporal interplay between excitation and inhibition by the statistics of visual input
see this subsequent paper in the Journal of Computational Neuroscience
Decoding low-level neural information to track visual motion
Moving the eyes rapidly to track a visual object moving in a cluttered environment is an essential function. However, doing so rapidly …
2008
Decoding the population dynamics underlying ocular following response using a probabilistic framework
The machinery behind the visual perception of motion and the subsequent sensorimotor transformation, such as in Ocular Following …
From neural activity to behavior: computational neuroscience as a synthetic approach for understanding the neural code.
Computational Neuroscience is a synthetic, inter-disciplinary approach aiming at understanding cognition by analyzing the mechanisms …
Modeling of spikes, sparseness and adaptation in the primary visual cortex: applications to imaging
related publications @ FENS 2006, @ NeuroComp 2008 and @ AREADNE 2008
2007
Neural Codes for Adaptive Sparse Representations of Natural Images
I will illustrate in this talk how computational neuroscience may inspire and be inspired by mathematical image processing. Focusing on …
2006
Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework
The quality of the representation of an object’s motion is limited by the noise in the sensory input as well as by an intrinsic …