Information processing and energy efficiency of temperature-sensitive Morris-Lecar neuron

Wang, Qi; Ma, Xuan; Wang, Hengtong

doi:10.1016/j.biosystems.2020.104215

Cited by 7 publications

(2 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…m ∞ and h ∞ are activation and deactivation probabilities of the mixed channel, and n ∞ is the steady-state value: , k C = 3.3/18, a = 0.4, b = 0.02, and k 1 = 0.1 and k 2 = 0.1, the detailed explanation of these parameters can be viewed in refs. [52,54]. The Chay neuron model has a basic assumption [53,55] that the potential energy stored in the battery reverse potentials V i , V l , V k , V φ in the circuit comes from the bioenergy ATP consumed by the Na/K-ATPase pump.…”

Section: The Chay Neuron Modelmentioning

confidence: 99%

“…Although extensive research has been conducted on the energy supply and consumption of neuron systems [37,51,52], surprisingly little attention has been devoted to the relationship between energy efficiency and complex firing modes. In particular, combining information and energy shows the inner connection between neural information and neural energy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy-efficient firing modes of chay neuron model in different bursting kinetics

Liu

2022

Sci. China Technol. Sci.

View full text Add to dashboard Cite

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.

show abstract

Section: The Chay Neuron Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%