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IT and Scientific Computing

NIT (Neuroinformatics and Information Technology) is the computing platform at INT. The missions of the NIT are as follows:

  • administrating and operating all the hardware and software resources of the laboratory (servers, network equipment)
  • guaranteeing the performance and availability of the information system, and security of the infrastructure
  • managing all desktop computers at INT, as well as computers controlling the experimental stations
  • providing the community with a Computing Center for Neuroscience (512 core computing cluster, 210TB storage cluster and associated tools)
  • supporting INT research projects in the field of data organization and processing (signal and image processing, bioinformatics, automatic learning)
  • ensuring a proper management of data after acquisition, from storage to processing, indexing and formatting.

The NIT is composed of a "Data and Scientific Computing" cell and a "System Infrastructure, Network, and High Performance Computing" cell. Like the other INT platforms, the management of the NIT is twofold, with a scientific manager and a technical manager.

Team manager

COULON Olivier

Chef d'équipe-Team Leader


Ingénieur Traitement d'Images - Responsable CRISE-Image Processing Engineer - Head of CRISE

Team member

Selected publications

  • Takerkart S., Auzias G., Brun L., and Coulon O. (2017). Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits. Medical Image Analysis, 35: 32-45.

  • Garcia S., Guarino D., Jaillet F., Jennings T., Pröpper R., Rautenberg P.L., Rodgers C.C., Sobolev A., Wachtler T., Yger P., and Davison A.P. (2014). Neo: an object model for handling electrophysiology data in multiple formats. Frontiers in Neuroinformatics, 8.

  • Takerkart S., Auzias G., Thirion B., and Ralaivola L. (2014). Graph-Based Inter-Subject Pattern Analysis of fMRI Data. PLoS ONE, 9.

  • Takerkart S., Katz P., Garcia F., Roux S., Reynaud A., and Chavane F. (2014). Vobi One: a data processing software package for functional optical imaging. Frontiers in Neuroscience, 8.

  • Kilavik B.E., Ponce-Alvarez A., Trachel R., Confais J., Takerkart S., and Riehle A. (2012). Context-related frequency modulations of macaque motor cortical LFP beta oscillations. Cerebral cortex (New York, N.Y.: 1991), 22: 2148-2159.
  • Publications

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