Binary spiking neural networks are modeled as binary causal models from which SAT and SMT solvers extract abductive explanations that provably exclude completely irrelevant input features.
In an analogous way we can prove that iv) leads to a contradiction
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Binary Spiking Neural Networks as Causal Models
Binary spiking neural networks are modeled as binary causal models from which SAT and SMT solvers extract abductive explanations that provably exclude completely irrelevant input features.