Modelling Sensory Attenuation as Bayesian Causal Inference across two Datasets
Anna-Lena Eckert,
Elena Fuehrer,
Christina Victoria Schmitter
et al.
Abstract: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, where SA occurs when an internal cause for sensory information is inferred. Methods. Experiment 1i… Show more
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