Been thinking about this a lot. Possibilities ~ 1. Bio-plausible learning is very architecture-dependent? 2. Similarly, too much is hardwired by evolution? 3. We have the wrong learning rules 4. Missing large chunks of biologically learning algorithm. STDP is tail of elephanthttps://twitter.com/butterflyarson/status/970693942218981376 …
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Yes, indeed, working on that. Only difference target prop was examined in the work Tim presented at Cosyne. More to come in future.
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That's great! In that case, I'm far from saying biologically plausible backprop won't work on hard tasks. And anyway ImageNet is obviously the wrong task although I understand why you chose it. I want to see it on some unsupervised prediction method like https://arxiv.org/abs/1605.08104
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