Recent & Upcoming Talks

Understanding natural vision <BR> using deep predictive coding

Building models which efficiently process images is a great source of inspiration to better understand the processes which underly our visual perception. I will present some classical models stemming from the Machine Learning community and propose …

Visual search as active inference

Visual search is an essential cognitive ability, offering a prototypical control problem to be addressed with Active Inference. Under a Naive Bayes assumption, the maximization of the information gain objective is consistent with the separation of …

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 the environment. This process is constrained by various factors such as a wide variety of changes in the …

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 public qui proposent des situations souvent incongrues, dans lesquelles l'eau remonte une cascade, les personnes volent …

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 and crowded visual display. This task is usually implemented by scanning the different possible target identities at …

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 agent that interacts with this volatile setting, it is important to react accurately and as quickly as possible. For …

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 an agent interacting with this kind of volatile environment, it is important to respond to such switches …

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 the environment. This process is constrained by various factors such as a wide variety of changes in the …

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 the environment. This process is constrained by various factors such as a wide variety of changes in the …

Should I stay or should I go? Adaption of human observers to the volatility of visual inputs

See the final publication @ Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology.

Role of dynamics in neural computations underlying visual processing

Efficient coding of visual information in neural computations

Modelling spiking neural networks using Brian, Nest and pyNN

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 visuelles (\" Qu'est ce qu'une image? \"), des rapports d'échelles, de la perception, ... et qui sont projetés lors …

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.

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.

Principles and psychophysics of Active Inference in anticipating a dynamic, switching probabilistic bias

See the final publication @ Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology.

Probabilities, Bayes and the Free-energy principle

Estimating and anticipating a dynamic probabilistic bias in visual motion direction

See the final publication @ Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology.

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.

Unsupervised learning applied to robotic vision

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.

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 introduce new concepts and results which will not be found in textbooks.

Back to the present: dealing with delays in biological and neuromorphic systems

Tutorial on predictive coding

Tutorial: Active inference for eye movements: Bayesian methods, neural inference, dynamics

Tutorial: Sparse optimization in neural computations

Back to the present: how neurons deal with delays

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.

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 operate a competitive selection based on behaviorally meaningful parameters. Recently, it has been observed that …

Biologically-inspired characterization of sparseness in natural images

Categorization of microscopy images using a biologically inspired edge co-occurrences descriptor

See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Preprint PDF Cite Code DOI

Eye movements as a model for active inference

See the final publication @ Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology.

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 public qui proposent des situations souvent incongrues, dans lesquelles l'eau remonte une cascade, les personnes volent …

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 illusion visuelles (\" Qu'est ce qu'une image? \"), des rapports d'échelles, de la perception, ... et qui sont projetés …

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 intelligence: vision. The ability to see is indeed an essential facet of intelligence which is developed in an autonomous …

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 intelligence: vision. The ability to see is indeed an essential facet of intelligence which is developed in an autonomous …

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 neural delays is not fully resolved. In this paper we use an abstract probabilistic framework and a spiking neural …

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 as fast as possible. One unsolved question is to understand how the brain pools motion information to give an …

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).

Edge co-occurrences and categorizing natural images

See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Preprint PDF Cite Code DOI

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 initiated within the consortium led to the creation of novel tools as planned in the proposal but also some of which …

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 more common than other possible arrangements of edges (Geisler et al., Vis Res 41:711-24, 2001). The visual system …

Apparent motion in V1 - Probabilistic approaches

MotionClouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception

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 as fast as possible. One unsolved question is to understand how the brain pools motion information to give an …

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 more common than other possible arrangements of edges (Geisler et al., Vis Res 41:711-24, 2001). The visual system …

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 global percept. This is well demonstrated for the detection of motion in the aperture problem: as luminance of an …

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 more common than other possible arrangements of edges (Geisler et al., Vis Res 41:711-24, 2001). The visual system …

Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps

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 more common than other possible arrangements of edges (Geisler et al., Vis Res 41:711-24, 2001). The visual system …

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 system could describe superposed and ambiguous information. This allows to describe the interactions of neighboring …

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 system could describe superposed and ambiguous information. This allows to describe the interactions of neighboring …

Diffraction monochromatique, spectre audiographique

En perception, les neurones « parlent » tous en même temps par de brèves impulsions électrochimiques, générant un mélange de signaux, un bruit. Pourtant c'est par eux que nous pensons, voyons, sentons. Les ordinateurs sont différents, plus rapides. …

Models of low-level vision: linking probabilistic models and neural masses

see this more recent talk @ UCL, London

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 low-level motion processing such as spatial and temporal integration, contrast gain control and divisive interaction …

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 ... survivre au sein de l'environnement. On verra, par exemple, que notre cerveau peut-être plus rapide que nous, qu'il y a des …

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 and efficiently is constrained by a number of noise sources in the visual system and by the fact that information …

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 Response (OFR), is confronted to uncertainties which are efficiently resolved in the primate's visual system. We may …

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 underlying neural computations. We present in this seminar our attempt in modeling low-level vision by bridging …

Modeling of spikes, sparseness and adaptation in the primary visual cortex: applications to imaging

related publications @ FENS 2006, @ NeuroComp 2008 and @ AREADNE 2008

What efficient code for adaptive spiking representations?

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 efficiently representing natural images in the primary visual cortex, we derive an event-based adaptive algorithm …

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 ambiguity due to the spatial limitation of the visual motion analyzers (aperture problem). Perceptual and oculomotor data …