Kenneth Kay, Natalie Biderman, Ramin Khajeh, Manuel Beiran, Christopher J Cueva, Daphna Shohamy, Greg Jensen, Xue-Xin Wei, Vincent P Ferrera, L F Abbott
Relational cognition-the ability to infer relationships that generalize to novel combinations of objects-is fundamental to human and animal intelligence. Despite this importance, it remains unclear how relational cognition is implemented in the brain due in part to a lack of hypotheses and predictions at the levels of collective neural activity and behavior. Here we discovered, analyzed, and experimentally tested neural networks (NNs) that perform transitive inference (TI), a classic relational task (if A > B and B > C, then A > C)...
April 25, 2024: PLoS Computational Biology