Automatic System for Identification and Analysis of Burst

Abstract

Although there are complex patterns of discharges exist in neurons, which are often clustered in bursts, the pattern of the burst discharge can substantially change with the alternation of the living environment of the neurons. Furthermore, there is a big difference in the physiological and pharmacological characteristics of various types of burst discharges. So it is necessary to analyze the information contained in various types of burst discharges. Here, an automatic system for identification and analysis of the neuron discharge based on plotting histograms of the logarithm of the interspike interval was designed. The system consists of neuron discharge collecting unit, neuron discharge processing unit, battery monitoring, real-time charging unit and bursts processing software. The system can identify the burst discharge from the neuron discharge without any omission and make statistical analysis. By using this device, the electrophysiological experiment that the spontaneous and evoked discharges of wide dynamic range neurons in spinal dorsal horn of rats were recorded was smoothly completed. The result of statistical analysis indicated that the device can give the corresponding interspike interval aimed at various types of burst discharges and respectively identify the burst discharges in the different amplitude spikes, which provide a tool for further research on the biosensor and the neural communication.