Novel visual computations

Let’s admit it: brains are not computers. Indeed, computers are still deceptive compared to biological perceptual systems. Think about rapidly detecting a novel object in clutter. Think about performing this with little supervision at a low energetic cost…

To narrow the gap between neuroscience and the theory of sensory processing computations, I am interested in bridging geometrical regularities found in natural scenes with the properties of neural computations as they are observed in sensory processes or behavior.

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Recent Publications

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The formation of connections between neural cells is essentially emerging from an unsupervised learning process. During the development …

From a computer science perspective, the problem of optimal representation using Hierarchical Sparse Coding (HSC) is often solved using …

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

Sparse coding holds the idea that signals can be concisely described as a linear mixture of few components (called atoms) picked from a …

Recent Events

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

We organize a Symposium at NeuroFrance 2019 entitled Active Inference: Bridging theoretical and experimental neurosciences. This is …

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Proverbes et citations glanés au cours des années



SpikeAI: laureat du Défi Biomimétisme (2019)

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

ANR BalaV1 (20132016)

ANR BalaV1: Balanced states in area V1 (2013–2016)

ANR CausaL (20182022)

ANR CausaL (20182022) : Cognitive​ ​architectures​ ​of​ Causal​ ​Learning.

ANR Horizontal-V1 (20172021)

ANR Horizontal-V1 (20172021): Connectivité Horizontale et Prédiction de Cohérences dans l’Intégration de Contour et Mouvement dans le Cortex Visuel Primaire

ANR PredictEye (20182022)

ANR PredictEye (20182022) : Mapping and predicting trajectories for eye movements

ANR REM (20132016)

ANR REM : Renforcement et mouvements oculaires (20132016).

ANR SPEED (20132016)

ANR SPEED: Traitement de la vitesse dans les scènes visuelles naturelles (20132016).


ANR TRAJECTORY (20162019).

DOC2AMU (20162019)

DOC2AMU: An Excellence Fellowship (20162019).

Motion Clouds

MotionClouds are random dynamic stimuli optimized to study motion perception.

PhD ICN (2017 / 2021)

A grant from the Ph.D. program in Integrative and Clinical Neuroscience (PhD position, 2017 / 2021).

Tout public!

Listes d’actions destinées à la culture scientifique et au public en général.

BrainScaleS (20112014)

BrainScaleS: Brain-inspired multiscale computation in neuromorphic hybrid systems (20112014).

CODDE (20082012)

CODDE: understanding brain and behaviour (20082012).

FACETS (20062010)

FACETS: Fast Analog Computing with Emergent Transient States (20062010).

FACETS-ITN (20102013)

FACETS-ITN: From Neuroscience to neuro-inspired computing (20102013)

PACE-ITN (20152019)

PACE-ITN: ITN Marie Curie network (20152019).

This would not be possible without…




Angelo Franciosini

Phd candidate in Computational Neuroscience


Hugo Ladret

master in Computational Neuroscience


Jean-Bernard Damasse

Phd in Computational Neuroscience


Jens Kremkow

Phd in Computational Neuroscience


Kiana Mansour-Pour

Phd in Computational Neuroscience


Mina A Khoei

Phd in Computational Neuroscience


Nicole Voges

PostDoc in Computational Neuroscience


Victor Boutin

Phd candidate in Computational Neuroscience


Wahiba Taouali

PostDoc in Computational Neuroscience

Recent & Upcoming Talks

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

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

Les objectifs sont : – mieux comprendre la fonction de la perception visuelle en explorant certaines limites ; – mieux …

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 …