【摘 要】
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In this talk,I explain how neurally-inspired models of natural data can lead to new insights into natural signal processing.Interestingly for neuroscience theory,the main tool involves learning a disc
【机 构】
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University of California, Berkeley USA
论文部分内容阅读
In this talk,I explain how neurally-inspired models of natural data can lead to new insights into natural signal processing.Interestingly for neuroscience theory,the main tool involves learning a discrete recurrent neural network from a dataset and then using the network dynamics to carry out processing tasks such as dcnoising and compression.
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