Human Inferences about Sequences: A Minimal Transition Probability Model

Volume: 12, Issue: 12, Pages: e1005260 - e1005260
Published: Dec 28, 2016
Abstract
The brain constantly infers the causes of the inputs it receives and uses these inferences to generate statistical expectations about future observations. Experimental evidence for these expectations and their violations include explicit reports, sequential effects on reaction times, and mismatch or surprise signals recorded in electrophysiology and functional MRI. Here, we explore the hypothesis that the brain acts as a near-optimal inference...
Paper Details
Title
Human Inferences about Sequences: A Minimal Transition Probability Model
Published Date
Dec 28, 2016
Volume
12
Issue
12
Pages
e1005260 - e1005260
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