Mathematics, Vol. 11, Pages 1701: Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition

Mathematics, Vol. 11, Pages 1701: Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition

Mathematics doi: 10.3390/math11071701

Authors: Yifei Yang Xiaosi Li Haotian Li Chaofeng Zhang Yuki Todo Haichuan Yang

Neuronal models have remained an important area of research in computer science. The dendritic neuron model (DNM) is a novel neuronal model in recent years. Previous studies have focused on training DNM using more appropriate algorithms. This paper proposes an improvement to DNM based on the activity of excitation and proposes three new models. Each of the three improved models are designed to mimic the excitation and inhibition activity of neurons. The improved model proposed in this paper is shown to be effective in the experimental part. All three models and original DNM have their own strengths, so it can be considered that the new model proposed in this paper well enriches the diversity of neuronal models and contributes to future research on networks models.