Spiking Neural Network 技術の現状と課題に関する考察

抄録

Introducing spiking signals to neural network operations is an important and fundamentalfeature of the neuromorphic architectures, because of reducing energy-efficiency dramatically, and foremulating information operations of human cortex. Though, in terms of application accuracy, the SpikingNeural Network, SNN, has not been outperforming the Artificial Neural Networks, the reason of which isregarded as that the SNN is following ideas of existing Deep-Neural-Network topologies and their learningmethodologies. The outline of this situation is reviewed and studied for seeing into next deployments ofthe SNN.