VARIETIES OF DIFFERENCE-MAKERS: CONSIDERATIONS ON CHIRIMUUTA'S APPROACH TO NON-CAUSAL EXPLANATION IN NEUROSCIENCE

Abel Wajnerman Paz
<span title="2019-04-02">2019</span> <i title="FapUNIFESP (SciELO)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5ymzk2fgxjfl5gihbu2stsfw4q" style="color: black;">Manuscrito</a> </i> &nbsp;
Causal approaches to explanation often assume that a model explains by describing features that make a differen ce regarding the phenomenon. Chirimuuta claims that this idea can be also used to understand non-causal explanation in computational neuroscien ce. She argues that mathematical prin ciples that figure in efficient coding explanations are non-causal differen cemakers. Although these prin ciples cannot be causally altered, efficient coding models can be used to show how would the
more &raquo; ... non change if the prin ciples were modified in counterpossible situations. The problem is that efficient coding models also involve differen ce-makers that, prima facie, cannot be ch aracterized as non-causal in this sense. Mathematical p rin ciples alw ays involve variables which have counterfactual (instead of counterpossible)
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