As a typical rhythmic movement, human being's rhythmic gait movement can be generated by a central pattern generator(CPG) located in a spinal cord by selfoscillation. Some kinds of gait movements are caused by gait frequency and amplitude variances. As an important property of human being's motion vision, the attention selection mechanism plays a vital part in the regulation of gait movement. In this paper,the CPG model is amended under the condition of attention selection on the theoretical basis of Matsuoka neural oscillators. Regulation of attention selection signal for the CPG model parameters and structure is studied, which consequentially causes the frequency and amplitude changes of gait movement output. Further, the control strategy of the CPG model gait movement under the condition of attention selection is discussed, showing that the attention selection model can regulate the output model of CPG gait movement in three different ways. The realization of regulation on the gait movement frequency and amplitude shows a variety of regulation on the CPG gait movement made by attention selection and enriches the controllability of CPG gait movement, which demonstrates potential influence in engineering applications.
The information stored in working memory can be transformed into the system of long-term memory due to the long-term potential(LTP) mechanism. The θ-burst stimulation(TBS) can be used as an LTP induction protocol in some experiments,but it has not been used in the models related to memory. In this work, an improved Camperi-Wang(C-W) model with the Ca2+subsystem-induced bistability is adopted,and the TBS is simulated to be the initial stimuli of this model. With the evolution of the effects of the stimuli properties such as the cycle, the amplitude, and the duty ration on the memory mechanism of this model, the TBS can be adopted to activate working memory models and produce long-term memory. The study helps to propose the relationship between working memory and long-term memory, which lays a theoretical basis for the study of the neural mechanism of long-term memory.
According to the theory of Matsuoka neural oscillators and with the consideration of the fact that the human upper arm mainly consists of six muscles, a new kind of central pattern generator(CPG) neural network consisting of six neurons is proposed to regulate the contraction of the upper arm muscles. To verify effectiveness of the proposed CPG network, an arm motion control model based on the CPG is established.By adjusting the CPG parameters, we obtain the neural responses of the network, the angles of joint and hand of the model with MATLAB. The simulation results agree with the results of crank rotation experiments designed by Ohta et al., showing that the arm motion control model based on a CPG network is reasonable and effective.
There have been many studies on the effect of cochlea basal membrane movement on the resolution of different frequencies and intensities.However,these studies did not take into account the influence of power and energy consumption of the hair cells in the process of the electromotility movement,as well as the neurodynamic mechanism that produced this effect.This makes previous studies unable to fully clarify the function of outer hair cells(OHCs)and the mechanism of sound amplification.To this end,we introduce the gate conductance characteristics of the hair cells in the mechanical process of increasing frequency selectivity.The research finds that the low attenuation of OHCs membrane potential and the high gain in OHC power and energy consumption caused that OHC amplification is driven by electromotility.The research results show that the amplification of the OHCs is driven by low attenuation of membrane potential and high gain of power and energy consumption.This conclusion profoundly reveals the physiological mechanism of the electromotility movement.
