The firing sequence of the neuron system that transmits information consumes a significant amount of energy, but it is unclear how the firing pattern of the neuron system determines its energy efficiency. The mode tra...The firing sequence of the neuron system that transmits information consumes a significant amount of energy, but it is unclear how the firing pattern of the neuron system determines its energy efficiency. The mode transformation and energy efficiency in different firing modes are investigated using the Chay neuron model. It has been found that when system parameters are tuned,the neurons show complex bursting kinetics. The period-n bursting state of the neuron carries high amounts of information while consuming less energy per unit of information, resulting in higher energy efficiency. In particular, the mixed discharge state,where the neuron is in several bursting states simultaneously, is more energy efficient, and appropriate electromagnetic inductioncan enhance the neuron's energy efficiency. Furthermore, there are optimal system parameters that maximize the energy efficiency of firing modes, demonstrating that the neuron carries high amounts of information while consuming less energy per unit of information. The study helps to understand the energy mechanism of neural information propagation and provides an insight into the energy efficiency characteristic of neuron systems.展开更多
基金supported by the National Natural Science Foundation of China (Grant No. 11675060)the China Postdoctoral Science Foundation (Grant No. 2021M703011)。
文摘The firing sequence of the neuron system that transmits information consumes a significant amount of energy, but it is unclear how the firing pattern of the neuron system determines its energy efficiency. The mode transformation and energy efficiency in different firing modes are investigated using the Chay neuron model. It has been found that when system parameters are tuned,the neurons show complex bursting kinetics. The period-n bursting state of the neuron carries high amounts of information while consuming less energy per unit of information, resulting in higher energy efficiency. In particular, the mixed discharge state,where the neuron is in several bursting states simultaneously, is more energy efficient, and appropriate electromagnetic inductioncan enhance the neuron's energy efficiency. Furthermore, there are optimal system parameters that maximize the energy efficiency of firing modes, demonstrating that the neuron carries high amounts of information while consuming less energy per unit of information. The study helps to understand the energy mechanism of neural information propagation and provides an insight into the energy efficiency characteristic of neuron systems.
