Next-generation neural computations

Brains are not like computers. Our brains can quickly and easily spot familiar objects, like keys in a messy room, with very little effort. In contrast, even the best computers struggle to do this as fast or efficiently. This difference shows just how much more we need to learn about how our brains work to create smarter artificial intelligence.

To bridge the gap between neuroscience and Artificial Intelligence (AI), I seek to harness the efficiency of vision by understanding how neural computations govern sensory processes like vision and behavioral responses like eye movements.

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Laurent U Perrinet

Researcher in Computational Neuroscience

Biography

Laurent Perrinet is a computational neuroscientist (DR2 CNRS) at the Institut de Neurosciences de la Timone (UMR 7289, CNRS / Aix-Marseille Université), within the NeOpTo team. His research investigates predictive processing in the visual system — from single cortical cells to active vision and behavior — and its translation into neuromorphic algorithms. He has co-authored more than 63 peer-reviewed articles (h-index 30), supervised 6 completed PhD students and currently directs 3 PhD students (Alexandre Lainé, Matthis Dallain, Kevin Mairot). His work combines neurophysiology (Neuropixels recordings in marmoset), computational modeling (spiking neural networks, Free-Energy Principle) and open-source algorithmic development (MotionClouds, AnEMo, LogGabor).

Interests

Predictive Processing & Active Inference
Spiking Neural Networks & Neuromorphic Computing
Computational Vision & Eye Movements

Education

Habilitation à diriger des recherches, 2017
Aix-Marseille Université
PhD. in Cognitive Science, 2003
Université P. Sabatier, Toulouse, France
M.S. in Engineering, 1998
SupAéro, Toulouse, France

Lastest Publications

Laurent U Perrinet (2026). Working Memory in Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays. 35th International Conference on Artificial Neural Networks (ICANN 2026)- Special Session on Recent Advances in Spiking Neural Networks.

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Antoine Grimaldi, Matthieu Gilson, Laurent U Perrinet, Andrea Alamia, Boris Sotomayor-Gomez, Martin Vinck (2026). Optimal Transport Theory to extract Spiking Motifs. Proceedings of the FENS Forum 2026.

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Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet (2026). Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays. Biological Cybernetics.

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Laurent U Perrinet (2026). Learning Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Delays. Proceedings of the Austrian Symposium on AI, Robotics and Vision.

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Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2026). Foveated Retinotopy Improves Classification and Localization in CNNs. Vision.

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Matthis Dallain, Laurent Rodriguez, Laurent U Perrinet, Benoît Miramond (2026). A saccade-inspired approach to image classification using vision transformer attention maps.

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A Choplin, T Rakotomamonjy, Laurent U Perrinet, N Lantos, S Angelliaume (2026). Physiological state Monitoring: a Riemannian Geometry based-model. The 14th International Winter Conference on Brain-Computer Interface, February 23~25, 2026.

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Alexandre Lainé, Nicholas J. Priebe, Guillaume S. Masson, Laurent U Perrinet (2026). Population decoding of visual motion direction. Proceedings of AREADNE.

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Laurent U Perrinet (2026). Working Memory with Polychronous Chains. arXiv preprint arXiv:2604.14096.

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Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet (2025). Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays. Poster at SNUFA 2025 online workshop (5-6 Nov 2025).

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Recent Events

Court-métrage *L’école des Fake News* sur grand écran ! #NOFAKENEWS

Présentation du court métrage L’école des Fake News #NOFAKENEWS, à l’occasion de la 31e édition de Ciné Plein Air Marseille, organisée par Les Écrans du Sud, et réalisé avec l’école Air Bel et l’association Polly Maggoo.

Laurent U Perrinet

2026-07-27 2 min read

Court-métrage *L’école des Fake News* sur grand écran ! #NOFAKENEWS

Variable Density, série Delaunay

À la croisée des arts plastiques et de l’architecture, Etienne Rey explore les dimensions comme une matière première propice à la construction de formes évolutives. A travers ses œuvres où l’expérience est primordiale, Etienne Rey jongle avec les composantes de la lumière, de l’espace et pour certaines également du son. La démarche de ce sociétaire de l’Ososphère tend à révéler les mécanismes d’organisation, d’interrelation et d’interaction qui définissent notre monde.

Etienne Rey, Laurent U Perrinet

Last updated on 2026-03-01 2 min read

Open PhD Position in Computational & Systems Neuroscience : 'Neuromodulatory control of predictive processing in visual cortical circuits'

The position has been filled.

We are recruiting a PhD student to work on neuromodulatory control of predictive processing in mouse vision, co-supervised by Ede Rancz (INMED) and myself.

Project Overview

This CENTURI project combines:

Laurent U Perrinet, Ede Rancz

2026-01-03 1 min read

Open PhD Position in Computational & Systems Neuroscience : 'Neuromodulatory control of predictive processing in visual cortical circuits'

NeuroTalk sur le thème des métiers du cerveau

NeuroTalk sur le thème des métiers du cerveau, organisé par les neuronautes

Laurent U Perrinet

2025-11-24 1 min read

NeuroTalk sur le thème des métiers du cerveau

Soutenance de Jean-Nicolas Jérémie "Foveal Retinotopy and Dual Pathways: A Computational Model for Active Visual Search"

Jean-Nicolas Jérémie soutiendra publiquement ses travaux de thèse intitulés: Foveal Retinotopy and Dual Pathways: A Computational Model for Active Visual Search

dirigés par Monsieur Laurent PERRINET et Monsieur Emmanuel DAUCE

Jean-Nicolas Jérémie

2025-10-10 4 min read

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Projects

2020-04-05

Cours et tutoriels

Je distribue de façon libre une série de cours et tutoriels.

2016-04-27

Open Science

To enable the dissemination of the knowledge that is produced in our lab, we share all source code with open source licences.

2016-04-27

Tout public!

L’entreprise scientifique s’accompagne nécessairement d’actions de diffusion de diffusion de son travail auprès de la communauté scientifique, et auprès de la société en général. Je participe à différentes formes d’actions destinées à la culture scientifique.

0001-01-01

Art <> Sciences

L’art permet de dépasser la rigidité requise par les normes académiques. C’est aussi un moyen d’expression et de communication. Une collaboration avec Étienne Rey.

This would not be possible without…

Mentors

Yves Fregnac

Karl Friston

Manuel Samuelides

Simon Thorpe

Current Students

Matthis Dallain

Phd candidate in Computational Neuroscience

Alexandre Lainé

Phd candidate in Computational Neuroscience

Agathe Choplin

PhD candidate in Neuroscience

Charlotte Roy

PhD candidate in Neuroscience

Kevin Mairot

Phd candidate in Ophtalmology

Collaborators

Matthieu Gilson

Researcher in Computational Neuroscience

Computational Neuroscience, Machine Learning

Stéphane Viollet

Emmanuel Daucé

Etienne Rey

Ede Rancz

Researcher in Neuroscience

Andrew Isaac Meso

Lecturer, King’s College London (IOPPN).

Jonathan Vacher

Maître de Conférence (Associate Professor) @ MAP5, Université Paris-Cité.

Ryad Benosman

Frédéric Chavane

Jean Martinet

Rosa Cossart

Thomas Schatz

Anna Montagnini

Laurent Madelain

Rick A Adams

Future Leaders Fellow, Institute of Cognitive Neuroscience & Centre for Medical Image Computing, UCL

James A Bednar

Paula Sanz Leon

Chloe Pasturel

Maria Jose Escobar

Former Students

Antoine Grimaldi

PostDoc Researcher in Computational Neuroscience with Andrea Alamia in Toulouse, France

Thomas Kronland-Martinet

Post-doctoral Researcher

Jean-Nicolas Jérémie

Phd in Computational Neuroscience

Hugo Ladret

Postdoctoral Researcher at Friedrich Miescher Institute for Biomedical Research

Victor Boutin

CNRS researcher at CerCo (Toulouse, France).

Adrien Fois

Post-doctoral Researcher

Amélie Gruel

Post-doctoral researcher in neuromorphic computer science in Bordeaux, France

Angelo Franciosini

Biomedical Engineer @ Avicenna.AI.

Alberto Arturo Vergani

Post-doctoral Researcher @ Sant’Anna School of Advanced Studies, Pisa, Italy.

Wahiba Taouali

Consulting manager @ Enthought, Cambridge, United Kingdom.

Kiana Mansour-Pour

Executive DirectorExecutive Director, Shotise

Jean-Bernard Damasse

MD, Marseille, France.

Mina A Khoei

Senior AI/ML scientist @ SynSense, Zurich, Switzerland.

Jens Kremkow

PI @ Neuroscience Research Center, Charité, Berlin, Germany.

Nicole Voges

PostDoc in Computational Neuroscience

Hilde Langengen-Teigen

Phd candidate in Neuroscience

Jenna Fradin

Research Engineer at ISIR (Institut des Systèmes Intelligents et de Robotique)

Publications

Quickly discover relevant content by filtering publications.

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet

Foveated Retinotopy Improves Classification and Localization in CNNs

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Working Memory with Polychronous Chains

Laurent U Perrinet

DynTex: A Real-Time Generative Model of Dynamic Naturalistic Luminance Textures

Andrew Isaac Meso, Jonathan Vacher, Nikos Gekas, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

A Robust Event-Driven Approach to Always-on Object Recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet

Kernel Heterogeneity Improves Sparseness of Natural Images Representations

Hugo Ladret, Christian Casanova, Laurent U Perrinet

Chats, mouches, humains : comment la vision a évolué en de multiples facettes

Laurent U Perrinet

Beyond $\ell_1$ sparse coding in V1

Ilias Rentzeperis, Luca Calatroni, Laurent U Perrinet, Dario Prandi

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

Antoine Grimaldi, Laurent U Perrinet

Cortical recurrence supports resilience to sensory variance in the primary visual cortex

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet

Ultra-Fast Image Categorization in biology and in neural models

Jean-Nicolas Jérémie, Laurent U Perrinet

Stakes of Neuromorphic Foveation: a promising future for embedded event cameras

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Precise spiking motifs in neurobiological and neuromorphic data

Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U Perrinet

Pooling in a predictive model of V1 explains functional and structural diversity across species

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Laurent U Perrinet

Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All

Frédéric Chavane, Laurent U Perrinet, James Rankin

A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning

Frédéric v Barthélemy, Jérome Fleuriet, Laurent U Perrinet, Guillaume S Masson

Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet

Le jeu du cerveau et du hasard

Laurent U Perrinet

A dual foveal-peripheral visual processing model implements efficient saccade selection

Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet

Effect of top-down connections in Hierarchical Sparse Coding

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Chloé Pasturel, Anna Montagnini, Laurent U Perrinet

Anticipatory Responses along Motion Trajectories in Awake Monkey Area V1

Giacomo Benvenuti, Sandrine Chemla, Arjan Boonman, Laurent U Perrinet, Guillaume S Masson, Frédéric Chavane

Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1

Sandrine Chemla, Alexandre Reynaud, Matteo DiVolo, Yann Zerlaut, Laurent U Perrinet, Alain Destexhe, Frédéric Chavane

Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli

Cesar U Ravello, Laurent U Perrinet, Maria-José Escobar, Adrián G Palacios

An adaptive homeostatic algorithm for the unsupervised learning of visual features

Laurent U Perrinet

Illusions et hallucinations visuelles : une porte sur la perception

Laurent U Perrinet

Temps et cerveau : comment notre perception nous fait voyager dans le temps

Laurent U Perrinet

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

Reinforcement effects in anticipatory smooth eye movements

Jean-Bernard Damasse, Laurent U Perrinet, Laurent Madelain, Anna Montagnini

The flash-lag effect as a motion-based predictive shift

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet

Testing the odds of inherent vs. observed overdispersion in neural spike counts

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U Perrinet

Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1

Jens Kremkow, Laurent U Perrinet, Cyril Monier, Jose-Manuel Alonso, Ad M Aertsen, Yves Frégnac, Guillaume S Masson

Biologically Inspired Dynamic Textures for Probing Motion Perception

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

Edge co-occurrences can account for rapid categorization of natural versus animal images

Laurent U Perrinet, James A Bednar

Active inference, eye movements and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

Motion-based prediction explains the role of tracking in motion extrapolation

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Bernhard a Kaplan, Anders Lansner, Guillaume S Masson, Laurent U Perrinet

Advances in Texture Analysis for Emphysema Classification

Rodrigo Nava, J Victor Marcos, Boris Escalante-Ramirez, Gabriel Cristóbal, Laurent U Perrinet, Raúl S J Estépar

Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia

Rick A Adams, Laurent U Perrinet, Karl Friston

The behavioral receptive field underlying motion integration for primate tracking eye movements

Guillaume S Masson, Laurent U Perrinet

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

Paula Sanz Leon, Ivo Vanzetta, Guillaume S Masson, Laurent U Perrinet

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

Nicole Voges, Laurent U Perrinet

More is not always better: dissociation between perception and action explained by adaptive gain control

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson

Motion-based prediction is sufficient to solve the aperture problem

Laurent U Perrinet, Guillaume S Masson

Perceptions as Hypotheses: Saccades as Experiments

Karl Friston, Rick A Adams, Laurent U Perrinet, Michael Breakspear

Qui créera le premier ordinateur intelligent?

Laurent U Perrinet

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

Saccadic foveation of a moving visual target in the rhesus monkey

Jérôme Fleuriet, Sandrine Hugues, Laurent U Perrinet, Laurent Goffart

Phase space analysis of networks based on biologically realistic parameters

Nicole Voges, Laurent U Perrinet

Role of homeostasis in learning sparse representations

Laurent U Perrinet

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen

Computational Neuroscience, from Multiple Levels to Multi-level

Emmanuel Daucé, Laurent U Perrinet

Dynamics of distributed 1D and 2D motion representations for short-latency ocular following

Frédéric v Barthélemy, Laurent U Perrinet, Eric Castet, Guillaume S Masson

PyNN: A Common Interface for Neuronal Network Simulators

Andrew P Davison, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent U Perrinet, Pierre Yger

Self-Invertible 2D Log-Gabor Wavelets

Sylvain Fischer, Filip Šroubek, Laurent U Perrinet, Rafael Redondo, Gabriel Cristóbal

Bayesian modeling of dynamic motion integration

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson

Modeling spatial integration in the ocular following response using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal

Coding static natural images using spiking event times: do neurons cooperate?

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Feature detection using spikes : the greedy approach

Laurent U Perrinet

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Finding Independent Components using spikes : a natural result of Hebbian learning in a sparse spike coding scheme

Laurent U Perrinet

Emergence of filters from natural scenes in a sparse spike coding scheme

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Coherence detection in a spiking neuron via Hebbian learning

Laurent U Perrinet, Manuel Samuelides

Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity

Laurent U Perrinet, Arnaud Delorme, Simon Thorpe, Manuel Samuelides

Network of integrate-and-fire neurons using Rank Order Coding B: spike timing dependant plasticity and emergence of orientation selectivity

Arnaud Delorme, Laurent U Perrinet, Simon Thorpe, Manuel Samuelides

Recent & Upcoming Talks

Access the list of all previous talks.

Laurent U Perrinet (2026). Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays. Seminar at CerCo.

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Laurent U Perrinet (2026). Dans l'intelligence du regard: l'art révèle la diversité de notre vision. Forum des Sciences Cognitives 2026.

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Laurent U Perrinet (2026). Spiking neural nets. NeuroSchool PhD Program in Neuroscience.

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Laurent U Perrinet (2026). Artificial neural networks and machine learning applied to the understanding of biological vision. Master 1 Neuroscience, UE Natural Cognition, Artificial Cognition..

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Laurent U Perrinet (2026). Recréer des réseaux neuronaux pour améliorer la compréhension de notre cerveau. Séminaire en ligne biomimétisme et neurosciences.

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Grants

Frédéric Chavane, Laurent U Perrinet

2023-10-27

ANR MarmoCatch (2023-10/2029-04)

Laurent U Perrinet

2023-10-05

Emergences (2023 / 2027)

Near-physics emerging models for embedded AI (PhD position, 2023 / 2027).

Rosa Cossart, Thomas Schatz, Laurent U Perrinet

2022-07-18

Polychronies (2022 / 2025)

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

Anna Montagnini, Emmanuel Daucé, Laurent U Perrinet, Laurent Madelain

2021-07-13

ANR ACES (2022/2026)

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

Laurent U Perrinet

2021-04-01

ANR RubinVase (2021/2024)

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

Emmanuel Daucé, Stéphane Viollet, Ryad Benosman, Laurent U Perrinet

2020-12-07

ANR AgileNeuRobot (2021/2025)

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

Anna Montagnini, Laurent U Perrinet

2020-04-27

ANR PRIOSENS (2021/2025)

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

Frédéric Chavane, Laurent U Perrinet

2020-04-27

ANR ShootingStar (2021/2024)

Processing of naturalistic motion in early vision

Jean Martinet, Laurent U Perrinet

2019-09-10

APROVIS3D (2019/2023)

Analog PROcessing of bioinspired VIsion Sensors for 3D reconstruction (APROVIS3D) is 2018 CHIST-ERA laureate.

2019-04-15

SpikeAI: laureat du Défi Biomimétisme (2019)

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

Frédéric Chavane, Laurent U Perrinet

2016-04-27

ANR BalaV1 (2013/2016)

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

2016-04-27

ANR CausaL (2018/2020)

ANR CausaL (2018/2020) : Cognitive architectures of Causal Learning.

Yves Fregnac, Frédéric Chavane, Laurent U Perrinet

2016-04-27

ANR Horizontal-V1 (2017/2021)

Connectivité Horizontale et Prédiction de Cohérences dans l’Intégration de Contour et Mouvement dans le Cortex Visuel Primaire

Anna Montagnini, Laurent U Perrinet

2016-04-27

ANR PredictEye (2018/2020)

ANR PredictEye (2018/2020) : Mapping and predicting trajectories for eye movements

2016-04-27

ANR REM (2013/2016)

ANR REM : Renforcement et mouvements oculaires (2013/2016).

2016-04-27

ANR SPEED (2013/2016)

ANR SPEED: Traitement de la vitesse dans les scènes visuelles naturelles (2013/2016).

Frédéric Chavane, Laurent U Perrinet

2016-04-27

ANR TRAJECTORY (2016/2019)

ANR TRAJECTORY (2016/2019).

Victor Boutin, Laurent U Perrinet

2016-04-27

DOC2AMU (2016/2019)

DOC2AMU: An Excellence Fellowship (2016/2019).

Angelo Franciosini, Laurent U Perrinet

2016-04-27

PhD ICN (2017 / 2021)

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

Yves Fregnac, Laurent U Perrinet

2015-04-27

BrainScaleS (2011/2014)

BrainScaleS: Brain-inspired multiscale computation in neuromorphic hybrid systems (2011/2014).

2015-04-27

CODDE (2008/2012)

CODDE: understanding brain and behaviour (2008/2012).

Yves Fregnac, Laurent U Perrinet

2015-04-27

FACETS (2006/2010)

FACETS: Fast Analog Computing with Emergent Transient States (2006/2010).

Yves Fregnac, Laurent U Perrinet

2015-04-27

FACETS-ITN (2010/2013)

FACETS-ITN: From Neuroscience to neuro-inspired computing (2010/2013)

Anna Montagnini, Laurent U Perrinet

2015-04-27

PACE-ITN (2015/2019)

PACE-ITN: ITN Marie Curie network (2015/2019).

Contact

How to reach me

laurent.perrinet@univ-amu.fr
+33 619 478 120
Institut de Neurosciences de la Timone (UMR 7289), Aix Marseille Université - CNRS, Faculté de Médecine - Bâtiment Neurosciences, 27, Bd Jean Moulin, Marseille, PACA 13385 Marseille Cedex 05
When you reach the INT building, take the stairs to the second floor, then enter the open space on the left and follow it to the end of the room; my office is on the right-hand side.
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