1. Brain information processing
(1)The Hamiltonian energy principle was creatively applied in research of neural information processing and energy coding. And energy method was also applied in modeling ion channel dynamics. Now the energy relationship between LTP and neural transmitter NMDA was researched through numerical simulation of a quantitive model. We also used the stochastic phase resetting dynamics to research the coding and decoding of large scale neural population, and to simulate the neurodynamics of learning and memory. Many related research results have been published in many famous international and regional scholarly journals.
(2)Modeling research of theta phase precession discovered in rat hippocampus, and put this model in an STDP neural network to research the enhancement of phase precession to learning and memory in a nearly real network context. Some newest discoveries have been published in many international and regional scholarly journals.
(3)Research of the binary neuron network and IF (Integrate-and-Fire) neuron network with dynamical synapses, the dynamical stability of such networks, relation ship between association memory and dynamical synapses, and the fast transfer among memory states.

2.  Neural control of movement
(1)A simulative research of CPG control pattern in rhythmic gait.
(2)A new method for arm trace calculation and its dynamical simulation.
(3)Dynamical analysis of neural control mechanism of insects gait movement.
(4)Research of impedance control of arm movement.
Above subjects are novel subjects in the field of neural control of movement. And they are also related to some important theoretical problems of intelligent robots. So they are valuable in engineering application. The research results and advances achieved by our institute was published or to be published in some core regional scholarly journals.

3. Tactile model and neural control
Study the mechanical sensing process of fabric properties involving softness-hardness and roughness-smoothness. For softness-hardness, an analytical model for in-series fingertip and fabric array is developed, and a parametric analysis is performed to discover the mechanical sensitivity of human cutaneous mechanoreceptors and the principle in identifying softness-hardness. And then, in combination with a recognized psychophysical law, the intrinsic scatter among sensory evaluation on various fabrics and individual differences is validated. On the other hand, for roughness and smoothness, the effect of typical fabric properties, including surface periodic undulation amplitude, wavelength and initial compression modulus, on mechanical responses of soft tissues within fingerpad is parametrically discussed by a FE model. The surface curvature and compression modulus are tentatively considered as the distal stimuli to cutaneous mechanoreceptors in identifying fabric surface roughness. These works have been published in several professional periodicals at home and abroad.

4. Dynamics of blood flow
The research is to develop a platform of human peripheries to investigate the blood flow and heat and mass transfer phenomena in human bodies. In this work, image-based modeling technique, the tools of CFD (Computational Fluid Dynamics), heat and mass transport theory in porous media, and noninvasive measurement technique are employed. The developed simulation system may be applied in the diagnoses of peripheral blood circulation diseases, drug delivery, and development of new generation prosthetic hands.