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About the Project This research will investigate machine learning using biologically inspired spiking neural networks. While much is known about how to train deep artificial neural networks, relatively little is understood about how the brain learns and processes information using electrical pulses known as 'spikes'. One feature of the brain that is well-understood, however, is its extremely low power consumption. Spiking neural networks are an evolution of the deep neural networks common in machine learning today, which promise to reduce drastically the energy footprint of AI systems, particularly when combined with neuromorphic hardware. This work will therefore explore bio-inspired AI algorithms suitable for this next-generation hardware. The goal is to explore learning techniques observed in the brain, in combination with methods from the deep learning community, and their implementation in spiking neural network based AI algorithms. The research will target state-of-the-art soluti
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