Laurent Perrinet (Researcher, CNRS) is a computational neuroscientist specialized in large scale neural network models of low-level vision, perception and action, currently at the "Institut de Neurosciences de la Timone" (France), a joint research unit (CNRS / Aix-Marseille Université). He co-authored more than 35 articles in computational neuroscience and computer vision. He graduated from the aeronautics engineering school SUPAERO, in Toulouse (France) with a signal processing and stochastic modeling degree. He received a PhD. in Cognitive Science in 2003 on the mathematical analysis on temporal spike coding in multi-scale and adaptive representation of natural scenes. His research program is focusing in bridging the complex dynamics of realistic, large-scale models of spiking neurons with functional models of low-level vision. In particular, as part of the FACETS and BrainScaleS consortia, he has developed experimental protocols in collaboration with neurophysiologists to characterize the response of population of neurons. Recently, he extended models of visual processing in the framework of predictive processing in collaboration with the team of Karl Friston at the University College of London. This method aims at characterizing the processing of dynamical flow of information as an active inference process. His current challenge is to translate, or compile in computer terminology, this mathematical formalism with the event-based nature of neural information with the aim of pushing forward the frontiers of Artificial Intelligence systems.
since 2012 Within the InViBe team, I collaborate with Anna Montagnini and Guillaume Masson on predictive coding in vision from sensation to action.
10/2010 - 01/2012 collaboration @ Karl Friston's laboratory, on understanding ocular movements using the free energy principle.
Under the supervision of Guillaume Masson at the Mediterranean Institut of Cognitive Neuroscience (INCM-UMR 6193, CNRS) in Marseille, I studied models of spatio-temporal inference in low-level sensory areas.
Task-leader of a "work-package in the European project FACETS : organization of 2 workshops (« Coordination on WP9T2: Investigate low-level visual processing in a computational model of primary visual cortex », 2006 and 2007), animation of collaborations. Organization of a practical workshop (« Code-Jam »).
- Teaching : Master students, 1 PhD (Jens Kremkow, defended in 2010), 1 invited PhD (Sylvain Fischer, defended in 2008), 2 post docs.
Member of the "NeuroComp" network:
- Reviewer in different journals and conferences, among which: Journal of Vision, Neurocomputing, ESANN, IEEE Trans. in Image Processing, Biological Cybernetics.
Participation to wide audience scientific events: invited conference "Peut-on parler d’intelligence mécanique?" in 2010, artistic collaboration with Etienne Rey in 2010, publication tqrgetting school audience on computational paradigms in Doc-Sciences (nov' 2010).
10/2004 visiting collaboration @ Bruno Olshausen's lab, working on the Role of homeostasis in learning sparse representations.
Dissertation Topic: How to decipher the visual spike code? Study of the parallel, asynchronous and sparse dynamics in ultra-rapid visual processing.
- Department of Computer and Modeling Sciences, grant form the French Research Department.
- Advisor: Manuel Samuelides, Co-advisor: Simon Thorpe.
Presentations at international meetings (IJCNN99, NeuroColt00, DYNN00, CNS00, CNS01, LFTNC01, ESANN02, NSI02). Participation to the EU Advanced Course in Computational Neuroscience in Trieste (Italie) and to the Telluride Neuromorphic Workshop in Colorado (USA).
- Defended 02/2003 with "Highest Honors" distinction.
Master in Cognitive Science Univ. Paris VII, P. Sabatier, EHESS, Polytechnique (Paris, France). 9/1998-9/1999
- Internship at ONERA/DTIM (Toulouse, France), specialization in modeling and mathematics. Study of hebbian learning in a rank-order based neural network. Application to texture recognition. "Very Good" distinction.
7/1999-8/1999 Research Scholar, USAFB (Rome, NY) / University of San Diego in California (États-Unis).
M.S. in Engineering Supaéro (Toulouse, France), one of the leading French Engineering Schools ("Grandes Ecoles"). 1993 - 1998
Specialization in stochastic models for signal and image processing and particularly by means of artificial neural networks.
- M.S. in Engineering, SUPAERO, Toulouse, France. 1993 - 1998
4/1998-9/1998 Research Scholar, CerCo (CNRS, UMR5549), Toulouse (stage de fin d'études d'ingénieur).
- Implementation and mathematical study of a unsupervised asynchronous neural net and application to pattern and character recognition.
- Programmed on a imaging processing facility involving radar decoding, geographical corrections, filtering and geocoding. Programmed on a topographic map generator. Collaborated in the processing of images designed to monitor the terrestrial crust's deformation.
- Monitoring of recent earthquake in California and in China.
9/1995-6/1996 Engineer at Alcatel, Vienna (Austria). Department of Voice Processing Systems. This voluntary internship involved all stages of the product process: design phase, prototyping and quality control with the objective of producing a high technology Voice Mail System.
- Individual projects on visual perception and object recognition.