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What Caused What? A Quantitative Account of Actual Causation Using Dynamical Causal Networks

Actual causation is concerned with the question: “What caused what?” Consider a transition between two states within a system of interacting elements, such as an artificial neural network, or a biological brain circuit. Which combination of synapses caused the neuron to fire? Which image features ca...

詳細記述

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書誌詳細
出版年:Entropy (Basel)
主要な著者: Albantakis, Larissa, Marshall, William, Hoel, Erik, Tononi, Giulio
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7514949/
https://ncbi.nlm.nih.gov/pubmed/33267173
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21050459
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