A Communicative Model: Can We Interpret Neural Dynamics of Understanding?
In this paper, a communicative model with two nonequilibrium neural networks is proposed to emulate the dynamical process of how we can understand each other. A novelty-induced learning process is introduced to realize memory transmission between heterogeneous neural network models. The simulation results suggest that the communicative model could subserve to interpret the underlying neural mechanism of understanding.
KeywordsPyramidal Neuron Memory Retrieval Communicative Model Mirror Neuron Hopfield Neural Network
This work was partially supported by a Grant-in-Aid for Scientific Research on Innovative Areas (No.4103)(21120002) from MEXT in Japan and partially supported by HFSPO(HFSP:RGP0039).
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