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AI. Dive into cutting-edge research on spiking neural networks, event-based sensors, and asynchronous learning. Collaborate internationally, publish your work, and inspire future minds through teaching
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, W., Teulière, C., Zeldenrust, F., Rao, R. P. N., Triesch, J., & Ororbia, A. (2024). Predictive Coding with Spiking Neural Networks: A Survey (arXiv:2409.05386). arXiv. https://doi.org/10.48550/arXiv
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, are seeking a highly motivated researcher to join our cutting-edge project on AI models development for individual identification of maculated animals with biologically guided generative deep neural networks
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of neurodegenerative, neuroinflammatory and neurovascular diseases. You will lead the development and integration of neural network decoding strategies for Multi-Compartment Relaxometry (MCR) and Myelin Water Imaging
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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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advantage if you can provide a link to a code repository of a project where you are the main contributor.- Experience in implementing machine learning methodologies, specifically neural network-based methods
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simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as
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expectations? By using computational models (including probabilistic models and neural language models), we will be able to answer these types of questions. In addition, our project will benefit computational
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simply by paying attention to what they “hear”? Or do they need to come prepared with certain expectations? By using computational models (including probabilistic models and neural language models), we
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approaches (Proper Orthogonal Decomposition, neural networks), (3) intrusive approaches (dynamical low-rank approximation). One outcome of this 4-year position is the production of research articles in peer