réseaux de neurones impulsionnels basés sur les mémoires résistives pour l'analyse de données neuronales

par Thilo Werner

Projet de thèse en BIS - Biotechnologie, instrumentation, signal et imagerie pour la biologie, la médecine et l'environnement

Sous la direction de Blaise Yvert (edisce) et de Barbara De salvo.

Thèses en préparation à Grenoble Alpes , dans le cadre de Ingénierie pour la santé la Cognition et l'Environnement , en partenariat avec Laboratoire d'Electronique et de Technologie de l'Information (LETI - CEA) (laboratoire) depuis le 24-04-2014 .


  • Résumé

    In neurobiology there is a strong need of advanced neuro-prosthetic systems able to communicate with the brain cortex, serving both to map and locally stimulate the neuronal activity. These will enable researchers to take samples in real time, giving them a precise picture of the neuronal activities during certain processes such as Parkinson's disease. Resistive Random Access Memory devices by default become a very elementary or simplistic electrical model of the biological synapse for the following reasons: (a) Two – Terminal, Nanoscale ; (b) Conductance/Resistance Modulation (i.e. can be programmed with electrical pulses analogous to neuron action potential) ; (c) changes (dynamic) and stores (non-volatile) simultaneously. The main idea of this PhD will be thus to develop a specialized neural probe with intelligent RRAM array, with the following functionalities: 3D spatial mapping of neuron activity through different layers of cortex/brain tissue, offsite storage of synaptic weights/patterns in response to a stimuli, possibility of by-passing a real synapse with an artificial RRAM synapse. The object of the PhD will be to make a proof of concept of the prosthetic synapses by integration of RRAM neuron/synapses in NeuroPXI, the new real-time data acquisition system for neurosciences studies from the Health Department from CEA-LETI. This brain-interface platform already well-established will allow testing the RRAM demonstrator in-vitro and in-vivo (in collaboration with CLINATEC lab). The PhD work will be performed in the Advanced Memory Technologies Laboratory of Silicon Component Division of CEA-LETI (http://wwwleticea.fr/en), a world leader laboratory in the creation and transfer of innovation from technologies to applications within Europe. The student will strictly interacts with the Micro-technologies for Biology and Healthcare Division, specialized in developing applications of micro-nano technologies in the field of health and Clinatec, a research centre focused on developing innovative treatments for cerebral and neuro-degenerative disorders. LETI is part of the Grenoble MINATEC innovation campus (http://www.minatec.com/en), which is home to 2,400 researchers, 1,200 students, and 600 technology transfer experts on a state-of-the-art 20-hectare campus offering 10,000 square meters of clean room space. MINATEC is located in the Grenoble-Isère French region, otherwise known as France's Silicon Valley, a unique scientific, industrial and cultural environment, with its research centres, university campus, 500 foreign companies and 40,000 scientists, engineers and technicians employed in the area.

  • Titre traduit

    spiking neural networks based on resistive memory technologies for neural data analysis


  • Résumé

    In neurobiology there is a strong need of advanced neuro-prosthetic systems able to communicate with the brain cortex, serving both to map and locally stimulate the neuronal activity. These will enable researchers to take samples in real time, giving them a precise picture of the neuronal activities during certain processes such as Parkinson's disease. Resistive Random Access Memory devices by default become a very elementary or simplistic electrical model of the biological synapse for the following reasons: (a) Two – Terminal, Nanoscale ; (b) Conductance/Resistance Modulation (i.e. can be programmed with electrical pulses analogous to neuron action potential) ; (c) changes (dynamic) and stores (non-volatile) simultaneously. The main idea of this PhD will be thus to develop a specialized neural probe with intelligent RRAM array, with the following functionalities: 3D spatial mapping of neuron activity through different layers of cortex/brain tissue, offsite storage of synaptic weights/patterns in response to a stimuli, possibility of by-passing a real synapse with an artificial RRAM synapse. The object of the PhD will be to make a proof of concept of the prosthetic synapses by integration of RRAM neuron/synapses in NeuroPXI, the new real-time data acquisition system for neurosciences studies from the Health Department from CEA-LETI. This brain-interface platform already well-established will allow testing the RRAM demonstrator in-vitro and in-vivo (in collaboration with CLINATEC lab). The PhD work will be performed in the Advanced Memory Technologies Laboratory of Silicon Component Division of CEA-LETI (http://wwwleticea.fr/en), a world leader laboratory in the creation and transfer of innovation from technologies to applications within Europe. The student will strictly interacts with the Micro-technologies for Biology and Healthcare Division, specialized in developing applications of micro-nano technologies in the field of health and Clinatec, a research centre focused on developing innovative treatments for cerebral and neuro-degenerative disorders. LETI is part of the Grenoble MINATEC innovation campus (http://www.minatec.com/en), which is home to 2,400 researchers, 1,200 students, and 600 technology transfer experts on a state-of-the-art 20-hectare campus offering 10,000 square meters of clean room space. MINATEC is located in the Grenoble-Isère French region, otherwise known as France's Silicon Valley, a unique scientific, industrial and cultural environment, with its research centres, university campus, 500 foreign companies and 40,000 scientists, engineers and technicians employed in the area.