A Spiking Neuron Model of Word Associations for the Remote Associates Test.

ABSTRACT: Generating associations is important for cognitive tasks including language acquisition and creative problem solving. It remains an open question how the brain represents and processes associations. The Remote Associates Test (RAT) is a task, originally used in creativity research, that is heavily dependent on generating associations in a search for the solutions to individual RAT problems. In this work we present a model that solves the test. Compared to earlier modeling work on the RAT, our hybrid (i.e., non-developmental) model is implemented in a spiking neural network by means of the Neural Engineering Framework (NEF), demonstrating that it is possible for spiking neurons to be organized to store the employed representations and to manipulate them. In particular, the model shows that

SUBMITTER: Kajic I 

PROVIDER: S-EPMC5288385 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature