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three decades has demonstrated that new neurons can be generated in the adult brain and integrate into complex pre-existing circuits. The process of adult neurogenesis is evolutionarily conserved across
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alternatives thanks to gene circuits/cascades capable, for example, of finely adjusting gene expression. The thesis project is part of a collaboration between SPPIN and ENS in Paris and aims to develop a
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of neural circuits essential for adaptation. The successful candidate will explore the dynamics of neural populations in key brain regions for decision-making and behavioral control: the frontal cortex and
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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players in the industry like Qualcomm [2], Intel [3] and Google [4], Meta [5] have already proposed CMOS chips for the implementation of AI. However, these dedicated integrated circuits are currently
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data