基本信息
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职业迁徙
个人简介
His background is in simulating and developing training techniques for spiking neural networks. Currently he is taking inspiration from these models to attempt the development of better machine learning approaches and algorithms. In particular, thinking about encoding of information in spike timing, the utility of firing rate trajectories in rate-based neural network models, and making use of conduction delays for computation. Beyond this, he is interested in functional/computational benefits that emerge in systems which are constrained as biology is (e.g. in energy, physical resources etc).
研究兴趣
论文共 26 篇作者统计合作学者相似作者
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arxiv(2023)
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arxiv(2023)
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arxiv(2022)
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Patternsno. 12 (2022): 100639-100639
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D-Core
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