The measurement of network is one of the important researches in resolving neuronal population information processing mechanism using complex network theory. For the quantitative measurement problem of functional neural network, the relation between the measure indexes, i.e. the clustering coefficient, the global efficiency, the characteristic path length and the transitivity, and the network topology was analyzed. Then, the spike-based functional neural network was established and the simulation results showed that the measured network could represent the original neural connections among neurons. On the basis of the former work, the coding of functional neural network in nidopallium caudolaterale (NCL) about pigeon's motion behaviors was studied. We found that the NCL functional neural network effectively encoded the motion behaviors of the pigeon, and there were significant differences in four indexes among the left-turning, the forward and the right-turning. Overall, the establishment method of spike-based functional neural network is available and it is an effective tool to parse the brain information processing mechanism.
Endoscopic resection and surgical resection are the two major therapeutic methods for early esophageal cancer. Endoscopic resection is safe and minimally invasive, but lymph node dissection can not be performed. Although surgery provides a rather thorough resection of the lesions and affected lymph nodes, surgical trauma brings certain negative impact on patients' long-term life quality. A comprehensive assessment of the patient's general condition, the risk of diseased lymph node metastasis, and the risk of the treatment itself is an important measure to optimize treatment decisions and formulate personalized treatment plans.