ePoster · Neuroscience
Statistical learning yields generalization and naturalistic behaviors in transitive inference
Samuel Lippl, Larry Abbott, Kenneth Kay, Greg Jensen, Vincent Ferrera · COSYNE 2023
Sat, Mar 11, 2023
A hallmark of intelligence is the ability to infer how stimuli in the world are interrelated. Transitive inference (TI) tasks test if subjects can generalize transitively (A">"B and B">"C implies A">"C), an important case of such relational inference. Despite longstanding study, it remains an open question how the brain, or even statistical learning systems more generally, implements TI. Here we show that a wide range of statistical and biological learning models generalizes transitively and replicates key behavioral patterns observed in humans and animals performing TI. Further, we c