Computational Analysis of Thalamocortical Communication of Auditory Information using Pairwise Spike Recordings

Abstract: Investigating the properties and mechanisms of coordination among neurons plays an important role in understanding how the brain encodes information and performs in thalamocortical processing in the auditory system. Whether the coordinated neuronal spikes in the auditory thalamus enhance the thalamocortical communications in the auditory cortex (AC) is the main concern in this project. Researchers are mostly focusing on the investigation of the V1 and V2 in visual system and corticortical circuits in auditory system using neuronal pairwise correlations as the method. However, what we explored in this project is the coordination among neurons in thalamocortical circuits. we applied the Jensen-Shannon divergence method to measure the similarity between two distributions and analyze the coordination in thalamus neurons and different parts of AC in ascending pathway and descending pathway of auditory system respectively. At the same time, we designed an algorithm to calculated spiking coordination. The result shows that the coordination pattern differs in separate pathway when keeping sound stimulation and basal forebrain (BF) stimulation on or off. In ascending pathway, the coordination in thalamus neurons precedes information to AC when the brain is silent, keeping sound and BF stimulation off. In descending pathway, the coordination mainly in the superficial area of AC precedes information to thalamus. The coordination is lower in the case of keeping sound on. In the future, more data on rats can be verified using our method and algorithm to investigate the coordinated spikes in auditory system.