Feature Extraction of Neuronal Activity by Attractor Reconstruction in Neural Networks with Delayed Couplings

We investigate neural activity of the neural network including delayed couplings by using attractor reconstruction images. The paper presents the effects on neural activity when the value and distribution of delayed coupling is changed. In particular, we focus on the complexity of attractor images and evaluate the relationship between delayed coupling and complexity.