Neural state space alignment for magnitude generalization in humans and recurrent networks
Hannah Sheahan, Fabrice Luyckx, Stephanie Nelli, Clemens Teupe, Christopher Summerfield
This study shows that both humans and recurrent neural networks develop aligned neural number lines to generalize magnitude concepts across contexts.
Neuron · Feb 23, 2021Peer-reviewedNeuroscience