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Field
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. The system will include: A very compact, ultra-low-power analog front-end (AFE) to sense neural signals. An on-chip neuromorphic processor to convert the neural data into spike-based encoded data and
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be causing this. Do you want the default settings to be restored? Restore default settings Go Back (Recommended) Open Network Login Page Try Again Advanced… Try Again Always continue for this site
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applied to control problems or tiny RL scenarios. Explore digital hardware realizations of the proposed RL algorithms within existing spiking neural network chip designs. Quantitative comparisons with
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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specifically examine gas corrosion mechanisms in connection with copper and silver, while investigation also will be carried out on specific electronic components such as chip resistors, IGBT substrates etc