Synchronization behavior and energy evolution in physical neuron and network

From a biophysical point of view, incorporating a variety of electric components into branch circuits of a neuron circuit can enhance the biophysical function of an isolated neuron, for example, piezoelectric ceramic can detect external auditory waves, thermistor can enhance temperature dependence and phototube can capture light signals. Thus, the physical neuron circuits of auditory neuron, thermosensitive neuron and light-dependent neuron are designed and the corresponding dimensionless equations are obtained in this paper. Firstly, the three different physical neurons are connected reciprocally by induction coils to excite magnetic field coupling under multiple external stimuli, and then synaptic connections are activated in an adaptive manner. Then, the criterion for exponential growth of coupling strength is proposed to discuss the enhancement of neuronal synaptic connections. It is found that the heterogeneous functional neurons coupled by induction coils can achieve quasi-synchronization accompanied by energy evolution. Moreover, the coupled functional neurons are taken as a network node to construct a functional neural network via voltage coupling based on resistor, so electrical synapse is activated and the influence of functional regions on network collective behavior is discussed. The findings show that the orderliness of neural network can be enhanced or destroyed under different external stimuli. The results in this paper can explain the collaboration and signal interaction in different functional areas, and it is expect to enhance the functionality and intelligence of artificial neural networks.