Department of Neuroscience, Physiology & Pharmacology, University College London, Gower Street, London, WC1E 6BT, UK.
The Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
Neuropharmacology. 2021 Oct 1;197:108727. doi: 10.1016/j.neuropharm.2021.108727. Epub 2021 Jul 24.
As for electronic computation, neural information processing is energetically expensive. This is because information is coded in the brain as membrane voltage changes, which are generated largely by passive ion movements down electrochemical gradients, and these ion movements later need to be reversed by active ATP-dependent ion pumping. This article will review how much of the energetic cost of the brain reflects the activity of glutamatergic synapses, consider the relative amount of energy used pre- and postsynaptically, outline how evolution has energetically optimised synapse function by adjusting the presynaptic release probability and the postsynaptic number of glutamate receptors, and speculate on how energy use by synapses may be sensed and adjusted. This article is part of the special Issue on 'Glutamate Receptors - The Glutamatergic Synapse'.
至于电子计算,神经信息处理的能量消耗很大。这是因为信息在大脑中编码为膜电压变化,这些变化主要由电化学梯度下的被动离子运动产生,而这些离子运动后来需要通过主动的 ATP 依赖性离子泵送来逆转。本文将回顾大脑的能量消耗中有多少反映了谷氨酸能突触的活动,考虑突触前和突触后使用的能量相对量,概述进化如何通过调整突触前释放概率和谷氨酸受体的突触后数量来优化突触功能的能量效率,并推测突触的能量使用如何被感知和调整。本文是“谷氨酸受体-谷氨酸能突触”特刊的一部分。