NeuroAI & Machine Learning

Event-based cameras mimic the way biological retinas process visual information: each pixel independently reports brightness changes as …

Event-based vision

While foveated vision, a trait shared by many animals including humans, is a major contributor to biological visual performance, it has …

Participation à un article de dissémination pour le magazine en ligne Sciences & Avenir, écrit par Alice Carliez: Comment notre …

Article de dissémination sur ce que l’étrange et le paranormal peut révéler sur notre cerveau.

Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to …

Interactions between machine learning, artificial neural networks and our understanding of biological vision

Aleatoric uncertainty characterizes the variability of features found in natural images, and echoes the epistemic uncertainty …

THE POSITION HAS BEEN FILLED. Dear colleagues, Applications are welcome for a fully funded 18-month postdoctoral position for the …

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

Artificial neural networks and machine learning applied to the understanding of biological vision

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

Artificial neural networks and machine learning applied to the understanding of biological vision

Humans are able to robustly categorize images and can, for instance, detect the presence of an animal in a briefly flashed image in as …

Our daily endeavors occur in a complex visual environment, whose intrinsic variability shapes the way we integrate information to make …

The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …

workshop organisé par les étudiants du master de sciences cognitives les 23 et 24 janvier 2023.

Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In …

[2022-11-21] Alex Reynaud’s lab meeting https://laurentperrinet.github.io/slides/2022-11-21_flash-lag-effect Only the speaker …

The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …

Cristal N°2 - Arbre théorique / 2014

The spiking response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code …

A grant from the Ph.D. program in Integrative and Clinical Neuroscience (Post-doctoral position, 2022 / 2025).

Neurons in the primary visual cortex are selective to orientation with various degrees of selectivity to the spatial phase, from high …

for a follow-up, check out Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Learning heterogeneous delays …

This work extends to natural scenes a previous work on visual search on a simplified task formulated in Emmanuel Daucé, Pierre …

On a daily basis, the primary visual cortex (V1) detects oriented elements from sensory inputs made of orientation distributions. To …

The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …

Visual search, that is, the simultaneous localization and detection of a visual target of interest, is a vital task. Applied to the …

Experimental evidence suggests that activity in sensory cortices is sparse in that only few neurons out of a large pool that could …

for a follow-up, check out Learning heterogeneous delays of spiking neurons for motion detection Antoine Grimaldi, Camille Besnainou, …

for visual search see: A dual foveal-peripheral visual processing model implements efficient saccade selection Emmanuel Daucé, Pierre …

Follow this future presentations Learning heterogeneous delays of Spiking Neurons for motion detection PDF Cite URL followed-up as a …

Réseaux de neurones artificiels et apprentissage machine appliqués à la compréhension de la vision

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

In most mammals, the primary visual cortex (V1) processes complex mixtures of orientations to construct an accurate neural …

Horizontal connections in the primary visual cortex of carnivores, ungulates and primates organize on a near-regular lattice. Given the …

Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …

In human and non-human primates, reflexive tracking eye movements can be initiated at very short latency in response to a rapid shift …

Convolutional Neural Networks have been considered the go-to option for object recognition in computer vision for the last couple of …

see a follow-up in: Jean-Nicolas Jérémie, Laurent U Perrinet (2023). Ultra-Fast Image Categorization in biology and in neural models. …

We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …

Horizon Faille @ interstices, Orangerie du jardin des plantes, Caen, 2021.

Un des objectifs des neurosciences visuelles est de comprendre comment le cerveau interprète les informations sensorielles et de …

poster number: 94 scheduled on Wednesday, Sep 22, 18:00 CEST. …

Angelo Franciosini (Equipe NeOpTo) a soutenu sa thèse de doctorat intitulée: SDPC : a sparse and predictive model of the early visual system le Mardi 28 septembre 2021 à 13h à 15h30

The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our visual environment. It …

Assignment of credit and constraints on eye movement learning (2022/2026).

We propose a neuromimetic architecture able to perform pattern recognition. To achieve this, we extended the existing event-based …

In this talk, I will present the following paper : Pooling in a predictive model of V1 explains functional and structural diversity …

Neural Turing Patterns

The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our visual environment. It …

Article de dissémination : la perception visuelle, telle qu’elle paut être comprise à travers illusions visuelles.

RedUndancy-free neuro-BIological desigN of Visual and Auditory SEnsing

We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …

Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …

Dans la pièce de théâtre la plus célèbre de Marivaux Le jeu de l’amour et du hasard, l’auteur joue à inverser le rôle des …

The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our everyday visual …

a follow-up of: Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements …

Robots aériens agiles bio-mimetiques pour le vol en conditions réelles

Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …

Building models which efficiently process images is a great source of inspiration to better understand the processes which underly our …

Visual search is an essential cognitive ability, offering a prototypical control problem to be addressed with Active Inference. Under a …

THE POSITION HAS BEEN FILLED. Offre de thèse “Vision ultra-rapide par réseaux de neurones impulsionnels” à Marseille

In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …

Integration sensory and prior information to control behavior (CRCNS US-French Research Proposal)

Processing of naturalistic motion in early vision

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …

La représentation concise et efficace de l’information est un problème qui occupe une place centrale dans l’apprentissage …

Victor Boutin (Equipe NeOpTo) a soutenu sa thèse de doctorat intitulée: Sparse deep predictive coding: a bio-inspired model of visual perception / Etude d’un algorithme hiérarchique et codage épars et prédictif : vers un modèle bio-inspiré de la perception visuelle le Vendredi 13 mars à 14h

Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The …

Humans are able to accurately track a moving object with a combination of saccades and smooth eye movements. These movements allow us …

Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …

What are the neural mechanisms underlying motion integration of translating objects? Visual motion integration is generally conceived …

Within the central nervous system, visual areas are essential in transforming the raw luminous signal into a representation which …

Background: The primary visual cortex (V1) is a key component of the visual system that builds some of the first levels of coherent …

Le GDR Vision réunit toute la communauté des chercheurs en France travaillant sur la perception visuelle (de la perception des attributs visuels comme la couleur et le mouvement à la reconnaissance des mots et des visages), l’intégration multi-sensorielle, la motricité (dont notamment le contrôle des mouvements des yeux et de la tête dans une variété de tâches; des plus basiques aux plus cognitives), la représentation de l’espace et les processus décisionnels. Il s’agit d’un réseau pluridisciplinaire réunissant psychophysiciens, psychologues, chercheurs en neurosciences (électrophysiologie et imagerie chez l’animal et l’Homme), et modélisateurs.

Le GDR Vision réunit toute la communauté française de chercheurs en vision. Nous aurons un atelier méthodologique le jeudi matin sur les apports possibles du Deep Learning pour les sciences de la vision: Utiliser l’apprentissage profond en vision.

Dans le monde qui nous entoure, nous percevons le temps s’écouler de façon immuable et universelle. Pourtant, il existe un temps pour chaque sens. Laurent Perrinet (AMU) exposera la dynamique des réseaux de neurones et le temps particulier qui est associé à l’un de ces sens, la vision.

When objects are in motion, the local orientation of their contours and the direction of motion are two essential components of visual …

In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …

Article de dissémination sur la perception visuelle vue à travers illusions et hallucinations.

Animal behavior must constantly adapt to changes, for example when the state of an environmental context changes unexpectedly. For an …

We organized a Symposium at NeuroFrance 2019 entitled Active Inference: Bridging theoretical and experimental neurosciences. This is part of a series of theoretical neuroscience symposia organized in this international conference from the french Neursocience Society.

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.

Algorithmes événementiels d’Intelligence Artificielle / Event-Based Artificial Inteligence (2019).

Animal behavior has to constantly adapt to changes, for instance when unexpectedly switching the state of an environmental context. For …

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

Nous avons expliqué comment le système visuel intègre les informations de mouvement en manipulant la distribution de vitesse locale à …

Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …

Traveling waves have recently been observed in different animal species, brain areas and behavioral states. However, it is still unclear what are their functional roles. In the case of cortical visual processing, waves propagate across retinotopic maps and can hereby generate interactions between spatially and temporally separated instances of feedforward driven activity. Such interactions could participate in processing long-range apparent motion stimuli, an illusion for which no clear neuronal mechanisms have yet been proposed. Using this paradigm in awake monkeys, we show that suppressive traveling waves produce to a spatio-temporal normalization of apparent motion stimuli. Our study suggests that cortical waves shape the representation of illusory moving stimulus within retinotopic maps for an straightforward read-out by downstream areas.

Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …

Motion detection represents one of the critical tasks of the visual system and has motivated a large body of research. However, it …

See the final publication @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …