Motif-topology improved Spiking Neural Network for the Cocktail Party Effect and McGurk Effect. (arXiv:2211.07641v1 [cs.NE])

Network architectures and learning principles are playing key in forming
complex functions in artificial neural networks (ANNs) and spiking neural
networks (SNNs). SNNs are considered the new-generation artificial networks by
incorporating more biological features than ANNs, including dynamic spiking
neurons, functionally specified architectures, and efficient learning
paradigms. Network architectures are also considered embodying the function of
the network. Here, we propose a Motif-topology improved SNN (M-SNN) for the
efficient multi-sensory integration and cognitive phenomenon simulations. The
cognitive phenomenon simulation we …

arxiv network neural network spiking neural network topology