Best Window Width Determination and Glioma Analysis Application of Dynamic Brain Network Measure on Resting-State Functional Magnetic Resonance Imaging

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• DOI number:10.1109/IJCNN.2016.7727862
• DOI number:10.1109/IJCNN.2016.7727862
• Journal:2016 International Joint Conference on Neural Networks (IJCNN)
• Journal:2016 International Joint Conference on Neural Networks (IJCNN)
• Key Words:Biological system modeling, Brain modeling, Integrated circuit modeling, Iron, Neurons
• Key Words:Biological system modeling, Brain modeling, Integrated circuit modeling, Iron, Neurons
• Abstract:Human brain provides an accurate and energy efficient function for localizing sound sources. In order to build a localizing system with similar advantages, a biologically plausible spiking model for interaural level difference (ILD) processing auditory pathway from cochlea to the inferior colliclus in human brain is proposed in this paper. The biological plausibility is based on the facts that all nodes in the model are implemented as the Integrate-and-Fire neurons, it does not utilize complex mathematical functions, and the architecture bears a high resemblance to the physiological structure. A one-shot learning algorithm characterized as simple and fast is designed to construct the synapse weights between the lateral superior olive and the inferior colliclus in order to render the proposed model to produce expected responses for different azimuthal angles of sounds. Some simulation results are presented to demonstrate the abilities of the proposed model to identify the angle of the input stereo sound and to distinguish multiple sounds coming from different angles. It is also shown that the proposed model behaves in the way that is in high accordance with former physiological and psychoacoustic conclusions.
• Abstract:Human brain provides an accurate and energy efficient function for localizing sound sources. In order to build a localizing system with similar advantages, a biologically plausible spiking model for interaural level difference (ILD) processing auditory pathway from cochlea to the inferior colliclus in human brain is proposed in this paper. The biological plausibility is based on the facts that all nodes in the model are implemented as the Integrate-and-Fire neurons, it does not utilize complex mathematical functions, and the architecture bears a high resemblance to the physiological structure. A one-shot learning algorithm characterized as simple and fast is designed to construct the synapse weights between the lateral superior olive and the inferior colliclus in order to render the proposed model to produce expected responses for different azimuthal angles of sounds. Some simulation results are presented to demonstrate the abilities of the proposed model to identify the angle of the input stereo sound and to distinguish multiple sounds coming from different angles. It is also shown that the proposed model behaves in the way that is in high accordance with former physiological and psychoacoustic conclusions.
• Co-author:Weibei Dou,Weibei Dou, Yu Pan,Yu Pan, Yueheng Wang, Yujia Mu, Yudu Li, Xiaojie Zhang, Quan Xu, Shuyu Yan, Yuanyuan Tu
• Co-author:Weibei Dou,Weibei Dou, Yu Pan,Yu Pan, Yueheng Wang, Yujia Mu, Yudu Li, Xiaojie Zhang, Quan Xu, Shuyu Yan, Yuanyuan Tu
• First Author:Xiao Feng,Huiwen Luo
• First Author:Xiao Feng,Huiwen Luo
• Indexed by:会议论文
• Indexed by:会议论文
• Correspondence Author:Weibei Dou
• Correspondence Author:Weibei Dou
• ISSN No.:2161-4407
• ISSN No.:2161-4407
• Translation or Not:no
• Translation or Not:no
• Date of Publication:2016-07-01
• Date of Publication:2016-07-01