表面肌电信号分析及其应用研究

表面肌电信号是皮肤表面记录下来的神经肌肉系统活动时的生物电信号 ,其时频特征及非线性动力学特征对该系统活动水平和状态有敏感依赖性 ,故可作为神经肌肉功能评价的有效方法。本文着重就肌电信号的分析方法及其应用现状进行简要回顾并分析探讨。     

A hybrid neural network model for consciousness

A new framework for consciousness is introduced based upon traditional artificial neural network models. This framework reflects explicit connections between two parts of the brain: one global working memory and distributed modular cerebral networks relating to specific brain functions. Accordingly this framework is composed of three layers,physical mnemonic layer and abstract thinking layer,which cooperate together through a recognition layer to accomplish information storage and cognition using algorithms of how these interactions contribute to consciousness:(1)the reception process whereby cerebral subsystems group distributed signals into coherent object patterns;(2)the partial recognition process whereby patterns from particular subsystems are compared or stored as knowledge; and(3)the resonant learning process whereby global workspace stably adjusts its structure to adapt to patterns' changes. Using this framework,various sorts of human actions can be explained,leading to a general approach for analyzing brain functions.     

Generalized solutions to the Benjamin-Ono equations in sense of Colombeau

INTRODUCTION In the theory of partial differential equations,Schwartz distribution theory and Sobolev spacesplay a very important role. But one shortcoming ofdistribution theory, however, is its inability to solvenonlinear problems because the product of distri-butions may not be a distribution. The need to de-fine the product of distributions also arises withproblems in Dirac’s quantum theory of an elec-tromagnetic field. It is impossible to introduce anassociate multiplication i…     

Generalized solutions to the Benjamin-Ono equations in sense of Colombeau

This paper discusses the existence and uniqueness of the generalized solution in the sense of Colombeau to the Benjamin-Oho(B-O)equation and the relationship between the new generalized solution and the classical solution.