Article

Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets

2024-03-27

Abstract excerpt

<p>Introduction. To interact with the environment, it is crucial to distinguish between sensory information that is externally generated and inputs that are self-generated. The sensory consequences of one’s own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference,...

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Literature Corpus work: ddff2a6d-7aed-57e3-98f6-e2cc8ace4428
DOI: 10.31234/osf.io/u5fsj

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