P4 CNRS

on Tuesday, 28 February 2012. Posted in Consortium

Partner P4: Centre National de la Recherche Scientifique (CNRS)

P4 CNRS

Description

The Centre National de la Recherche Scientifique (CNRS) is a government-funded research organization, under the administrative authority of France's Ministry of Research. Founded in 1939 by governmental decree, CNRS has the following missions: to evaluate and carry out all research capable of advancing knowledge and bringing benefits for society; to contribute to the application and promotion of research results; to develop scientific information; to support research training. CNRS participates in BRAIN-BOW with the laboratoire IMS (Intégration du Matériau au Système), which includes about 200 staff members. The BioElectronics group of IMS aims at the design of biomimetic integrated circuits emulating the temporal dynamics of small neural networks, and the development of hardware/software tools for computational neurosciences and neurophysiology, including hybrid living-artificial systems.

Role of CNRS in the project

CNRS will be in charge of one scientific WP, namely WP5 devoted to the design of a neuromorphic chip mediating the communication within cell assemblies in a pathological neuronal system. CNRS will be also involved into the WP4, in collaboration with UNIGE, for the simulation results of the large-scale computational models and into the WP6 for the closed-loop experiments involving a biological element and the neuromorphic chip.

Key Personnel

Dr Timothée Levi (Principal Investigator) graduated in Electronic Engineering from the University of Bordeaux 1, France in 2004. He received a PhD in Electrical Engineering, from the University of Bordeaux 1 in 2007. His dissertation was about the reuse methodology applied on neuromorphic engineering. In 2008, he was a post-doctoral researcher at CEA-LETI in Grenoble, France, about real-time signal processing of spike sorting. In 2009, he was post-doctoral researcher at University of Tokyo (LIMMS/IIS), Japan, about silicon neural network for smart MEMS systems. He is currently Associate Professor at Laboratoire IMS since 2010. His main research is focused on architecture of silicon neural networks and IP-based reuse methodologies.

Dr Yannick Bornat graduated in electronics at ENSEIRB in 2003. As a PhD student in the BioElectronics group at IMS, he worked on mixed signal systems for neural networks simulation. For the SENSEMAKER EU project, he built a digital structure to interface analog VLSI neuromimetic circuits to a GNU/LINUX computer in real time through the PCI bus. He also designed a mixed ASIC for hardware neural simulation. He obtained his PhD in electronics in 2006. He made a post-doc at IMT (Neuchâtel, Switzerland) in 2007. He implemented digital computing on a massively parallel acquisition platform based on APS-MEA. He is currently Associate Professor in Laboratory IMS. His research is focused on real-time digital systems to interface artificial neurons and to compute network scale phenomenon.

Prof. Sylvie Renaud is the head of the BioElectronics group in IMS group. She graduated as an Engineer from ESE (Supelec, Paris) in 1986, and obtained her PhD in electronics in 1991 and her HDR (research heading qualification) in 2001, in the University of Bordeaux. After a post-doctoral stay in Brandeis University (MA, USA) in 1991-1992, Pr Renaud has been developing research in 'microelectronics for biology' for more than 15 years. Her research interests are: analog and mixed neuromorphic VLSI; real-time hardware simulation platforms of spiking neural networks; hybrid systems interfacing living and artificial neurons; analog ASICs for biological signal conditioning and events detection; active VLSI implants for neurodegenerative diseases and closed-loop living-artificial systems. She authored and co-authored more than 50 book chapters, journal papers and communications. Since 2005, she is an expert for EU and NSF-NIH calls. She is the Dean of Research in ENSEIRB-MATMECA where she teaches Microelectronics.

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The BrainBow project acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284772.

Fundings1