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Location:Neural Coding in the Auditory System group, Institut de l’Audition , Paris. Type of contract: 12-month fixed-term contract (CDD) – The contract is initially for 1 year but can be extended
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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familiar with. Indeed, one option is to develop hybrid architectures on the model of PointSIFT [Jiang, 2018] in which the first layers of the network are “freezed” on handmade keypoints, corresponding