Connectionists: PhD thesis 'Focus of attention: a sensory-motor task for energy reduction in spiking neural networks'

[PERRINET Laurent]

Dear colleagues,

It's a pleasure to share with you this fully-funded PhD position in computational neuroscience<https://neuromatch.social/@laurentperrinet/112399941756878366> in interaction with neuromorphic engineering and neuroscience:

https://laurentperrinet.github.io/post/2024-05-03_phd-position_focus-of-attention/

TL;DR:  This PhD subject focuses on the association between attention and spiking neural networks for defining new efficient AI models for embedded systems such as drones, robots and more generally autonomous systems. The thesis will take place between the LEAT research lab in Sophia-Antipolis and the INT institute in Marseille which both develop complementary approaches on bio-inspired AI from neuroscience to embedded systems design. The application should include :

• Curriculum vitæ,

• Motivation Letter,

• Letter of recommendation of the master supervisor.

Cheers,
Laurent

PS: related references
  *   Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection<https://laurentperrinet.github.io/publication/dauce-20/>. Journal of Vision. doi:https://doi.org/10.1167/jov.20.8.22

  *   Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2020). Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. arXiv https://arxiv.org/abs/2402.15480

--
Laurent Perrinet - INT (UMR 7289) AMU/CNRS
https://laurentperrinet.github.io/

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