Computational Neuroscience

Which sparsity problem does the brain solve?
Experimental evidence suggests that activity in sensory cortices is sparse in that only few neurons out of a large pool that could …
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2022-03-23_UE-neurosciences-computationnelles
Réseaux de neurones artificiels et apprentissage machine appliqués à la compréhension de la vision
2022-03-23 Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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 …
2022-03-23 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Statistics of the sparse representations of natural images
In most mammals, the primary visual cortex (V1) processes complex mixtures of orientations to construct an accurate neural …
Last updated on 2021-10-12 Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience, Visual Neuroscience
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Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All
Horizontal connections in the primary visual cortex of carnivores, ungulates and primates organize on a near-regular lattice. Given the …
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A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning
In human and non-human primates, reflexive tracking eye movements can be initiated at very short latency in response to a rapid shift …
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What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism
Convolutional Neural Networks have been considered the go-to option for object recognition in computer vision for the last couple of …
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What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism
Decoding orientation distributions from noisy observations in V1
This poster is presented in the following paper (published in Nature Comm Biology): Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric …
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From event-based computations to a bio-plausible Spiking Neural Network
We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …
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SDPC : A Sparse and Predictive Model of the Early Visual System
Un des objectifs des neurosciences visuelles est de comprendre comment le cerveau interprète les informations sensorielles et de …
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Simulating anticipatory activity in a 1D Spiking Neural Network Model
poster number: 94 scheduled on Wednesday, Sep 22, 18:00 CEST. …
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Soutenance de thèse Angelo Franciosini
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
2021-09-09 3 min read Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience, Visual Neuroscience
Soutenance de thèse Angelo Franciosini
Neural Turing Patterns
Neural Turing Patterns
2021-06-15 2 min read Computational Neuroscience, NeuroAI & Machine Learning
Project
Neural Turing Patterns
Dynamical processing of orientation precision in the primary visual cortex
The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our visual environment. It …
Last updated on 2021-07-12 Computational Neuroscience, NeuroAI & Machine Learning, Visual Neuroscience
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A robust bio-inspired approach to event-driven object recognition
We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …
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Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …
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Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Modulation of orientation selectivity by orientation precision
The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our everyday visual …
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ANR AgileNeuRobot (2021/2025)
Robots aériens agiles bio-mimetiques pour le vol en conditions réelles
Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
Slides
ANR AgileNeuRobot (2021/2025)
Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding
Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …
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Understanding natural vision using deep predictive coding
Building models which efficiently process images is a great source of inspiration to better understand the processes which underly our …
2020-09-25 Biological Neuroscience, Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning, Theoretical Neuroscience
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A dual foveal-peripheral visual processing model implements efficient saccade selection
In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …
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ANR PRIOSENS (2021/2025)
Integration sensory and prior information to control behavior (CRCNS US-French Research Proposal)
Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning
ANR PRIOSENS (2021/2025)
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 …
2020-04-03 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding
Cells in the primary visual cortex of mammals (V1) have historically been divided into two classes: simple and complex. Simple cells …
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Etude d’un Algorithme Hiérarchique de Codage Épars et Prédictif : Vers Un Modèle Bio-Inspiré de La Perception Visuelle
La représentation concise et efficace de l’information est un problème qui occupe une place centrale dans l’apprentissage …
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2020-03-13: Soutenance de thèse Victor Boutin
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
Last updated on 2020-03-04 4 min read Biological Neuroscience, Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning, Theoretical Neuroscience
2020-03-13: Soutenance de thèse Victor Boutin
Effect of top-down connections in Hierarchical Sparse Coding
Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The …
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Effect of top-down connections in Hierarchical Sparse Coding
Humans adapt their anticipatory eye movements to the volatility of visual motion properties
Humans are able to accurately track a moving object with a combination of saccades and smooth eye movements. These movements allow us …
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Humans adapt their anticipatory eye movements to the volatility of visual motion properties
La vision comme processus prédictif: Une approche bio-mimétique
Suite de mes travaux d’habilitation à diriger des recherches (HDR) sur le thème de la vision comme processus prédictif. Laurent …
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From the retina to action: Dynamics of predictive processing in the visual system
Within the central nervous system, visual areas are essential in transforming the raw luminous signal into a representation which …
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From the retina to action: Dynamics of predictive processing in the visual system
Learning dynamics in a neural network model of the primary visual cortex
Background: The primary visual cortex (V1) is a key component of the visual system that builds some of the first levels of coherent …
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Postdoc position on Visual computations using Spatio-temporal Diffusion Kernels and Traveling Waves
THE POSITION HAS BEEN FILLED. 18 month Post-doc position coordinated by Laurent Perrinet, supported by (INT, Marseille) and Yves Frégnac (UNIC-NeuroPSI, Gif).
2019-10-21 7 min read Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning, Theoretical Neuroscience, Visual Neuroscience
Postdoc position on Visual computations using Spatio-temporal Diffusion Kernels and Traveling Waves
APROVIS3D (2019/2023)
Analog PROcessing of bioinspired VIsion Sensors for 3D reconstruction (APROVIS3D) is 2018 CHIST-ERA laureate.
Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning
APROVIS3D (2019/2023)
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 …
2019-07-15 Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning, Theoretical Neuroscience, Visual Neuroscience
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2019-05-20: Symposium on Active Inference at NeuroFrance 2019
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.
2019-05-20 7 min read Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
SpikeAI: laureat du Défi Biomimétisme (2019)
Algorithmes événementiels d’Intelligence Artificielle / Event-Based Artificial Inteligence (2019).
Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning, Theoretical Neuroscience
SpikeAI: laureat du Défi Biomimétisme (2019)
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 …
2019-04-03 Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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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 …
2019-03-25 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …
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Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli
Motion detection represents one of the critical tasks of the visual system and has motivated a large body of research. However, it …
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Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli
Should I stay or should I go? Adaption of human observers to the volatility of visual inputs
See the final publication @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …
2019-01-18 Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning
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Role of dynamics in neural computations underlying visual processing
2019-01-17 Computational Neuroscience, NeuroAI & Machine Learning
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Efficient coding of visual information in neural computations
2019-01-16 Computational Neuroscience, NeuroAI & Machine Learning
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Modelling spiking neural networks using Brian, Nest and pyNN
2019-01-14 Computational Neuroscience, NeuroAI & Machine Learning
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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 …
2019-01-10 Computational Neuroscience, NeuroAI & Machine Learning
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A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding
Sparse coding holds the idea that signals can be concisely described as a linear mixture of few components (called atoms) picked from a …
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Modelling Complex Cells of Early Visual Cortex using Predictive Coding
see a follow-up in: Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep …
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Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex
A key property of the neurons in the primary visual cortex (V1) is their selectivity to oriented stimuli in the visual field. …
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Sparse Deep Predictive Coding to model visual object recognition
see a follow-up in: Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep …
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Sparse Deep Predictive Coding to model visual object recognition
Temps et cerveau : comment notre perception nous fait voyager dans le temps
Lorsque nous observons un sablier, lorsque nous fixons notre regard sur les grains de sable qui tombent, nous avons le sentiment que le …
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Temps et cerveau : comment notre perception nous fait voyager dans le temps
Top-down connection in Hierarchical Sparse Coding
The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …
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Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
A common practice to account for psychophysical biases in vision is to frame them as consequences of a dynamic process relying on …
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Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
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 …
2018-10-10 Computational Neuroscience
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Reinforcement effects in anticipatory smooth eye movements
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Principles and psychophysics of Active Inference in anticipating a dynamic, switching probabilistic bias
See the final publication @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …
2018-04-05 Computational Neuroscience, NeuroAI & Machine Learning
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Probabilities, Bayes and the Free-energy principle
2018-03-26 Computational Neuroscience
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2018-03-26 : PhD Program: course in Computational Neuroscience
PhD Program: course in Computational Neuroscience.
2018-03-26 4 min read Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
Project Project
Estimating and anticipating a dynamic probabilistic bias in visual motion direction
See the final publication @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …
2018-02-01 Computational Neuroscience, NeuroAI & Machine Learning
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Expériences autour de la perception de la forme en art et science
Elasticité dynamique est composée des pièces Expansion, Trame et Lignes sonores. Volume hexagonal en miroir de 7 mètres de diamètre, …
2018-01-25 Computational Neuroscience, NeuroAI & Machine Learning
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M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation
This paper presents for the first time the embedded stand-alone version of the bio-inspired M2APix (Michaelis-Menten auto-adaptive …
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Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision
The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …
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Unsupervised learning applied to robotic vision
see a related work describing SDPC in: Sparse Deep Predictive Coding captures contour integration capabilities of the early visual …
2017-11-24 Computational Neuroscience, NeuroAI & Machine Learning
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Participation au jury
FESTIVAL INTERFÉRENCES​ Cinéma Documentaire et Débat Public FESTIVAL INTERFÉRENCES​ Le collectif Scènes Publiques composé de citoyens, …
2017-11-17 Computational Neuroscience, NeuroAI & Machine Learning
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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 …
2017-11-15 Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning
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Back to the present: dealing with delays in biological and neuromorphic systems
2017-06-28 Computational Neuroscience, NeuroAI & Machine Learning
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Tutorial on predictive coding
2017-06-28 Computational Neuroscience, NeuroAI & Machine Learning
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The flash-lag effect as a motion-based predictive shift
Due to its inherent neural delays, the visual system has an outdated access to sensory information about the current position of moving …
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The flash-lag effect as a motion-based predictive shift
Tutorial: Active inference for eye movements: Bayesian methods, neural inference, dynamics
2017-01-20 Computational Neuroscience, NeuroAI & Machine Learning
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Tutorial: Sparse optimization in neural computations
2017-01-19 Computational Neuroscience, NeuroAI & Machine Learning
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Back to the present: how neurons deal with delays
2017-01-18 Computational Neuroscience, NeuroAI & Machine Learning
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Dynamic modulation of volatility by reward contingencies: effects on anticipatory smooth eye movement
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Efficient learning of sparse image representations using homeostatic regulation
One core advantage of sparse representations is the efficient coding of complex signals using compact codes. For instance, it allows …
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Efficient learning of sparse image representations using homeostatic regulation
One core advantage of sparse representations is the efficient coding of complex signals using compact codes. For instance, it allows …
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Estimating and anticipating a dynamic probabilistic bias in visual motion direction
see a write-up in Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the …
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Participation au jury et entretien avec Clara Delmon
RENCONTRES INTERNATIONALES SCIENCES & CINÉMAS cinéma les Variétés …
2016-11-20 Computational Neuroscience, NeuroAI & Machine Learning
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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
2016-11-03 Computational Neuroscience
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Reinforcement contingencies modulate anticipatory smooth eye movements
Natural environments potentially contain several interesting targets for goal-directed behavior. Thus sensorimotor systems need to …
2016-11-03 Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning
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Differential response of the retinal neural code with respect to the sparseness of natural images
Sparse coding of images in the retina follows regular statistics at the global, not the local scale See supplementray code.
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Differential response of the retinal neural code with respect to the sparseness of natural images
Biologically-inspired characterization of sparseness in natural images
2016-10-26 Computational Neuroscience, Computer Vision
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Categorization of microscopy images using a biologically inspired edge co-occurrences descriptor
See a followup in Edge co-occurrences can account for rapid categorization of natural versus animal images Laurent U Perrinet, James A …
2016-10-26 Computational Neuroscience, Computer Vision
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2016-10-26 : EUVIP BICV
EUVIP Session 7: Biologically Inspired Computer Vision (Special Session).
2016-10-26 2 min read Behavioural Neuroscience, Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning
2016-10-26 : EUVIP BICV
Eye movements as a model for active inference
See the final publication @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …
2016-10-13 Computational Neuroscience, NeuroAI & Machine Learning
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Operant reinforcement versus reward expectancy: effects on anticipatory eye movements
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ANR BalaV1 (2013/2016)
ANR BalaV1: Balanced states in area V1 (2013–2016)
Biological Neuroscience, Computational Neuroscience, Visual Neuroscience
ANR BalaV1 (2013/2016)
ANR CausaL (2018/2020)
ANR CausaL (2018/2020) : Cognitive​ ​architectures​ ​of​ Causal​ ​Learning.
Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning
ANR CausaL (2018/2020)
ANR Horizontal-V1 (2017/2021)
Connectivité Horizontale et Prédiction de Cohérences dans l’Intégration de Contour et Mouvement dans le Cortex Visuel Primaire
Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, Visual Neuroscience
ANR Horizontal-V1 (2017/2021)
ANR SPEED (2013/2016)
ANR SPEED: Traitement de la vitesse dans les scènes visuelles naturelles (2013/2016).
Behavioural Neuroscience, Computational Neuroscience
ANR SPEED (2013/2016)
ANR TRAJECTORY (2016/2019)
ANR TRAJECTORY (2016/2019).
Biological Neuroscience, Computational Neuroscience, Computer Vision, Visual Neuroscience
Project
ANR TRAJECTORY (2016/2019)
Compensation of oculomotor delays in the visual system's network
We consider the problem of sensorimotor delays in the optimal control of movement under uncertainty. Specifically, we consider axonal …
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Effects of motion predictability on anticipatory and visually-guided eye movements: a common prior for sensory processing and motor control?
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Modeling the effect of dynamic contingencies on anticipatory eye movements
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Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1
Neurons in the primary visual cortex are known for responding vigorously but with high variability to classical stimuli such as …
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Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1
Introduction
This is the introductory chapter of the book, which serves as a comprehensive but rigorous reference in the area of biologically …
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Biologically Inspired Computer Vision
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and …
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Biologically Inspired Computer Vision
BrainScaleS (2011/2014)
BrainScaleS: Brain-inspired multiscale computation in neuromorphic hybrid systems (2011/2014).
Computational Neuroscience, NeuroAI & Machine Learning
BrainScaleS (2011/2014)
CODDE (2008/2012)
CODDE: understanding brain and behaviour (2008/2012).
Behavioural Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning
CODDE (2008/2012)
FACETS (2006/2010)
FACETS: Fast Analog Computing with Emergent Transient States (2006/2010).
Biological Neuroscience, Computational Neuroscience
FACETS (2006/2010)
FACETS-ITN (2010/2013)
FACETS-ITN: From Neuroscience to neuro-inspired computing (2010/2013)
Biological Neuroscience, Computational Neuroscience
FACETS-ITN (2010/2013)
Anticipating a moving target: role of vision and reinforcement
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Anticipatory smooth eye movements as operant behavior
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