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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously
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neuroimaging methods to investigate the cognitive and neural mechanisms of episodic memory and how they change in healthy and pathological aging. Our lab investigates cognitive and neural mechanisms of memory
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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-university VLIR-IBOF project entitled ‘MINDFUL: MIcroglia directed NeuroDegeneration FUeled by Lipid metabolism’, prof. Dmitriev and prof. Vergult will put their expertise together to establish neural organoid
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
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modelling of the C. elegans neural network. The lab also uses Two Electrode Voltage Clamp (TEVC) electrophysiology and molecular biology techniques to characterise receptors. There are a broad range of
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challenges and real-world impact. Project overview In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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& Perception Laboratory (NA&P Lab), led by Dr. Sabine Kastner at the Princeton Neuroscience Institute. The lab studies neural mechanisms of cognition in the primate brain. Intracranial recordings from human