Neuronal memory for language processing
Hartmut Fitz, Marvin Uhlmann, Dick Van den Broek, Renato Duarte, Peter Hagoort A, Karl Magnus Petersson
The paper investigates how a spiking network model of sentence comprehension uses neuronal memory to assign semantic roles and resolve binding relations in language input without relying on persistent activity or synaptic plasticity.
Proceedings of the National Academy of Sciences · Aug 11, 2020Peer-reviewedNeuroscience