Literature DB >> 29327161

Effects of channel blocking on information transmission and energy efficiency in squid giant axons.

Yujiang Liu1, Yuan Yue1,2, Yuguo Yu3, Liwei Liu2, Lianchun Yu4.   

Abstract

Action potentials are the information carriers of neural systems. The generation of action potentials involves the cooperative opening and closing of sodium and potassium channels. This process is metabolically expensive because the ions flowing through open channels need to be restored to maintain concentration gradients of these ions. Toxins like tetraethylammonium can block working ion channels, thus affecting the function and energy cost of neurons. In this paper, by computer simulation of the Hodgkin-Huxley neuron model, we studied the effects of channel blocking with toxins on the information transmission and energy efficiency in squid giant axons. We found that gradually blocking sodium channels will sequentially maximize the information transmission and energy efficiency of the axons, whereas moderate blocking of potassium channels will have little impact on the information transmission and will decrease the energy efficiency. Heavy blocking of potassium channels will cause self-sustained oscillation of membrane potentials. Simultaneously blocking sodium and potassium channels with the same ratio increases both information transmission and energy efficiency. Our results are in line with previous studies suggesting that information processing capacity and energy efficiency can be maximized by regulating the number of active ion channels, and this indicates a viable avenue for future experimentation.

Entities:  

Keywords:  Energy efficiency; Information rate; Ion channel blocking; Squid giant axon

Mesh:

Substances:

Year:  2018        PMID: 29327161     DOI: 10.1007/s10827-017-0676-2

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  29 in total

1.  Subthreshold voltage noise due to channel fluctuations in active neuronal membranes.

Authors:  P N Steinmetz; A Manwani; C Koch; M London; I Segev
Journal:  J Comput Neurosci       Date:  2000 Sep-Oct       Impact factor: 1.621

2.  Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex.

Authors:  R Van Rullen; S J Thorpe
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

3.  Role of axonal sodium-channel band in neuronal excitability.

Authors:  Longfei Wang; Hengtong Wang; Lianchun Yu; Yong Chen
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-11-02

4.  Energy-efficient action potentials in hippocampal mossy fibers.

Authors:  Henrik Alle; Arnd Roth; Jörg R P Geiger
Journal:  Science       Date:  2009-09-11       Impact factor: 47.728

5.  Spontaneous action potentials due to channel fluctuations.

Authors:  C C Chow; J A White
Journal:  Biophys J       Date:  1996-12       Impact factor: 4.033

Review 6.  Noise, neural codes and cortical organization.

Authors:  M N Shadlen; W T Newsome
Journal:  Curr Opin Neurobiol       Date:  1994-08       Impact factor: 6.627

7.  Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs.

Authors:  K Wiesenfeld; F Moss
Journal:  Nature       Date:  1995-01-05       Impact factor: 49.962

8.  Energy-efficient population coding constrains network size of a neuronal array system.

Authors:  Lianchun Yu; Chi Zhang; Liwei Liu; Yuguo Yu
Journal:  Sci Rep       Date:  2016-01-19       Impact factor: 4.379

9.  Autapse-induced multiple coherence resonance in single neurons and neuronal networks.

Authors:  Ergin Yilmaz; Mahmut Ozer; Veli Baysal; Matjaž Perc
Journal:  Sci Rep       Date:  2016-08-02       Impact factor: 4.379

10.  Regulation of Irregular Neuronal Firing by Autaptic Transmission.

Authors:  Daqing Guo; Shengdun Wu; Mingming Chen; Matjaž Perc; Yangsong Zhang; Jingling Ma; Yan Cui; Peng Xu; Yang Xia; Dezhong Yao
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.