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I didn’t phrase (2) particularly well. I meant that digital neural networks typically use floating point numbers, which can represent only discrete values. Do aliasing effects show up in the behavior of these networks that wouldn’t apply for continuously variable systems, or perhaps more appropriate for biological NNs, temporal coding via spike trains?


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