Concept
Crise d'épilepsie
Personnes associées (29)
Werner Alfons Hilda Van Geit
Werner is the Group Leader of the Cells team within the Simulation Neuroscience Division in Blue Brain.
The goal of his team is to build the single cell models which are the building blocks of the larger network models used in the Blue Brain Project. The first step when building these cell models consists of reconstructing, analysing and artificially recreating neuron morphologies. Next, a biophysically detailed electrical model for the different cell types is built. For the latter the team uses automated parameter optimisation tools like Blue Brain’s open source BluePyOpt tool, but they are also active in extending and developing other Blue Brain software packages related to single cells.
Keyvan Farhang Razi
Keyvan Farhang Razi received his BSc and MSc degree in Electrical Engineering from Amirkabir university of Technology, Tehran, Iran in 2016 and 2019 respectively. His field of activity and interest during his Bachelor of science education mainly covers analog circuits design using advanced HBT transistors and studying III-V compounds semiconductors as well as VLSI circuits design. In 2016, he joined photonics Research Lab (PRL) in Amirkabir university of Technology to carry out his bachelor diploma project under supervision of Prof. Hassan Kaatuzian.Subsequently, he became a member of RFIC laboratory at Amirkabir university of Technology as a Master of science student under supervision of Dr. Mohsen Moezzi in 2017. He conducted a great deal of research and projects in designing Radio-frequency integrated circuits and low-power analog CMOS integrated circuits during his MSc program. Also, he designed an elaborated RF-DC converter for RF energy harvesting applications in his MSc diploma project.He started his PhD education in Electrical Engineering at EPFL, Lausanne, Switzerland as a doctoral assistant in Biomedical Neuromorphic Microelectronic System (BNMS) group supervised by Dr. Alexandre Schmid in October 2019. Currently, he is working toward an interdisciplinary project which involves designing mixed-signal integrated circuits as well as neural signal processing to implement autonomous implantable patches for reliable closed-loop epilepsy control. The goal of this project is to provide autonomy and improve the quality of life of more than 60 million people who suffer from epilepsy.