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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
neural networks can outperform traditional approaches, they are often regarded as "black boxes" due to their lack of interpretability, making it difficult to understand the biological behavior they learn
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theoretical research is focused on embodied neuroAI, recognising that the body influences biological neural networks, the continuity of actions, and sensory inputs. Leveraging advancements in Drosophila genetic
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Description The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work
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. Ideally, we would like to know the cochlear output precisely to study its effect on neural representations. However, because cochlear mechanics and neuronal processing are reciprocally coupled through
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equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants' natural environment, so
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-driven instrumentation could streamline the process, reducing computational load and enhancing the efficiency of inverse problem-solving. A new hardware design is emerging from neural networks
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Université Paris-Saclay GS Life Sciences and Health | Saclay, le de France | France | about 2 months ago
périvasculaires méningées, dérivées de la crête neurale (CN-PERI), dans l'homéostasie et la surveillance immunitaire du cerveau embryonnaire et néonatal, afin de comprendre si cette fonction a des implications
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will focus on developing theoretical frameworks to understand neural computation and dynamics. The candidate will: Build mathematical models of neural networks Study the dynamical properties of neural
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exposure prediction, as demonstrated in [1,2], treats the estimation problem as a black-box mapping, relying solely on empirical data. The neural networks act as general models. In contrast, Physics-Informed
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focusing on defensive actions or neuromodulation in small neural networks have revealed significant deviations in typical behavioral patterns among larva populations. These deviations either necessitate a