Nonequilibrium Dynamics Of Olfactory Neural Network

The Brain research program for innovative neural technology("Human Brain Project")was announced in the U.S.in 2013.After that,similar planes were also put forward by the E.U.,China and Japan."Human Brain Project" is another historic plan after "Human Genome Project"("GEP").The first stage of this plan has been already finished this year,and the databases of brain neural network have been initially built.New analysis tools and methods are in great need to make full use of these sources.A global understanding of the brain is also an attractive topic to scientist.Electroencephalogram(EEG)was improved by English and from then on the EEG becomes a useful tool to explore the human brain.In neuro science there are two ways to explore the signals from the brain:intrusive one and non-intrusive one.EEG is a kind of typical non-intrusive one to know what happened in the brain.With the combination of EEG and TMS Seung-schik Yoo in thej Harved University achieved the ideal of control the other body by one brain.EEG is also used in the area of Brain Computer Interface,which may get some movement ideas in the human brain.K? neural network is provided by freeman.This model is a topological one which has many hierarchies.The simulation of K? mode has already developed to discover the working of olfactory neural system.Nature system is usually non-linear open system,which can constantly exchange mass and energy with the environment.Energy is vital to individual in keeping order.So it is better to combine the feature of nonlinear and energy together.In this paper we will approach the EEG signals by simulate K? modes and analyze the results in a static way.In the former work K?network was usually treated as a tool to simulate signals and aimed to get an optimal results in many inputs.Many achievements have been used in electronic nose and picture recognition,which is quite helpful in daily lives.In this paper,we have used non-linear dynamics to explore the nature of K?neuro system.Based on the work of the dynamics of Hopfield neural network and Lorenz chaotic system,we have studied the steady state of K? neural network with input and without input.Then I put forward a new way to describe the distinguishing between two odours.With this approach small difference can be easily distinguished and at the same time small vibrations can also be shown,which is helpful to have a global understanding of the whole neural system.After all these discussion,we may revalue the K? neural system.Many characters of the K? neural work may not be discovered only in a typical way.Only take all the elements,including studying,memorizing,perturbation and feedback,into consideration can we get the global nature of the network.Just as academician Aike Guo said in<Cells of neurology>the activity of the brain cannot be easily gotten by the knowledge of a signal neuro.Neuro activity is not a direct work from a simple one to a complex one.Only in a group,the neuron can show its value.