Queen Square UCL Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK.
Gatsby Computational Neuroscience Unit, University College London, 25 Howland Street, London, W1T 4JG, UK.
Trends Neurosci. 2020 Jun;43(6):363-372. doi: 10.1016/j.tins.2020.03.009. Epub 2020 Apr 21.
More often than not, action potentials fail to trigger neurotransmitter release. And even when neurotransmitter is released, the resulting change in synaptic conductance is highly variable. Given the energetic cost of generating and propagating action potentials, and the importance of information transmission across synapses, this seems both wasteful and inefficient. However, synaptic noise arising from variable transmission can improve, in certain restricted conditions, information transmission. Under broader conditions, it can improve information transmission per release, a quantity that is relevant given the energetic constraints on computing in the brain. Here we discuss the role, both positive and negative, synaptic noise plays in information transmission and computation in the brain.
通常情况下,动作电位无法引发神经递质释放。即使神经递质被释放,突触电导的变化也具有高度可变性。鉴于产生和传播动作电位的能量成本,以及突触间信息传递的重要性,这种情况似乎既浪费又低效。然而,由于可变传递而产生的突触噪声可以在某些受限条件下改善信息传递。在更广泛的条件下,它可以提高每次释放的信息传输量,鉴于大脑计算的能量限制,这一数量是相关的。在这里,我们讨论了突触噪声在大脑中的信息传递和计算中所起的积极和消极作用。