Glutamate spillover drives robust all-or-none dendritic plateau potentials—an in silico investigation using models of striatal projection neurons

Frontiers in Cellular Neuroscience

Cellular Neuroscience

Daniel Trpevski¹  Zahra Khodadadi¹  Ilaria Carannante¹  Jeanette Hellgren Kotaleski² 

[1] Science for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden;Science for Life Laboratory, Department of Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden;Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden;

关键词: glutamate spillover;    plateau potentials;    NMDA spikes;    gating function;    computational modeling;    nonlinear dendritic computation;    clustered synapses;    magnesium block of NMDA receptors;   

DOI  :  10.3389/fncel.2023.1196182

 received in 2023-03-29, accepted in 2023-05-31,  发布年份 2023

来源: Frontiers

【 摘 要 】

Plateau potentials are a critical feature of neuronal excitability, but their all-or-none behavior is not easily captured in modeling. In this study, we investigated models of plateau potentials in multi-compartment neuron models and found that including glutamate spillover provides robust all-or-none behavior. This result arises due to the prolonged duration of extrasynaptic glutamate. When glutamate spillover is not included, the all-or-none behavior is very sensitive to the steepness of the Mg2+ block. These results suggest a potentially significant role of glutamate spillover in plateau potential generation, providing a mechanism for robust all-or-none behavior across a wide range of slopes of the Mg2+ block curve. We also illustrate the importance of the all-or-none plateau potential behavior for nonlinear computation with regard to the nonlinear feature binding problem.

【 授权许可】

Unknown   
Copyright © 2023 Trpevski, Khodadadi, Carannante and Hellgren Kotaleski.