How to build artificial neural networks closer to capabilities of biological?
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Directly optimizing content of intermediate layers with information bottleneck approach?
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Biological neurons use multidirectional propagation – could/should we recreate it in artificial neurons? Doable e.g. with neurons modelling joint distribution (reduces to ~KAN)
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