Specific biophysical neurons are presented to detect different stimuli, and these external exciting signals are encoded to trigger appropriate firing modes and action potentials for signal propagation between neurons in the network. A thermosensitive neuron can estimate the effect of temperature changes on the excitability and firing modes in nervous system, a photocurrent-dependent neuron can be sensitive to the changes of external illumination or light, and an auditory neuron can perceive acoustic wave when the vibration energy is absorbed and converted into field energy in the loop of neural circuits. From biophysical viewpoint, some specific electric components such as thermistor, phototube, and piezoelectric ceramics can be incorporated into neural circuits for activating specific functions, and thus the external stimuli such as heat, light and vibration can be detected because these energy injections can be converted to intrinsic field energy in the neural circuits. In this paper, three kinds of different neural circuits are coupled in a close loop, energy pumping and the stability of phase synchronization are investigated by regulating the properties of coupling channels, furthermore, the noise effect is also estimated. When induction coil is used to couple the neural circuits, phase stability is controlled under magnetic field coupling, and the activation of noise can change the stability of phase synchronization. The intrinsic field energy in the light-dependent neuron is increased with the increase of coupling intensity when voltage coupling via resistor and magnetic field coupling via induction coil are switched on. In case of electric field coupling via capacitor, the energy in the light-dependent neural circuit keeps oscillatory with small amplitude. These results indicate that magnetic field can be the most suitable way for realizing synchronous information encoding between different functional neurons than the electric synapse coupling because continuous pumping of ions can induce magnetic field in the cell, and all the neurons are controlled completely by effective pumping in field energy.

提供特定的生物物理神经元来检测不同的刺激，这些外部刺激信号被编码以触发适当的放电模式和动作电位，用于网络中神经元之间的信号传播。热敏神经元可以估计温度变化对神经系统兴奋性和放电模式的影响，光电流依赖性神经元可以对外部光照或光线的变化敏感，听觉神经元可以在振动能量为在神经回路中吸收并转化为场能。从生物物理学的角度来看，一些特定的电子元件，如热敏电阻、光电管、压电陶瓷等，可以结合到神经回路中来激活特定的功能，从而使外界刺激如热、可以检测到光和振动，因为这些能量注入可以转换为神经回路中的固有场能。本文将三种不同的神经回路进行闭环耦合，通过调节耦合通道的特性来研究能量泵浦和相位同步的稳定性，并估计噪声效应。使用感应线圈耦合神经回路时，在磁场耦合下控制相位稳定性，噪声的激活可以改变相位同步的稳定性。当通过电阻器进行电压耦合和通过感应线圈进行磁场耦合时，光依赖神经元中的固有场能随着耦合强度的增加而增加。在通过电容器进行电场耦合的情况下，光依赖神经回路中的能量以小幅度保持振荡。这些结果表明，与电突触耦合相比，磁场是实现不同功能神经元之间同步信息编码的最合适方式，因为离子的连续泵送可以在细胞内产生磁场，并且所有神经元都完全被有效泵入控制。场能。