“Design of bio-inspired spiking neural networks (spiking neurons) for event-based stereovision” (PhD position, 2020-09 / 2023-09)

Main publications

• Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona (2023). Stakes of Neuromorphic Foveation: a promising future for embedded event cameras. Biological Cybernetics.

  Cite Preprint

• Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U Perrinet (2022). Precise spiking motifs in neurobiological and neuromorphic data.

  Cite DOI Hal Code URL arXiv

• The objective of the work was to design and implement Spiking-Neural-Network-based machine learning methods to extract vision features from the scene from stereo event-based cameras. This PhD takes place within the SPARKS-MS&N team of i3S laboratory (CNRS), as part of the European CHIST-ERA APROVIS3D project.

• APROVIS3D grant (ANR-19-CHR3-0008-03)

• Keywords: Vision, Spiking Neural Networks, Bio-Inspired Computer Vision

• Co-supervisors : Jean Martinet (i3S) & Laurent Perrinet (Institut de Neurosciences de la Timone)