Fox Kevin, Stryker Michael
School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK
Center for Integrative Neuroscience, University of California, 675 Nelson Rising Lane, San Francisco, CA 94158, USA.
Philos Trans R Soc Lond B Biol Sci. 2017 Mar 5;372(1715). doi: 10.1098/rstb.2016.0413.
Hebbian plasticity is widely considered to be the mechanism by which information can be coded and retained in neurons in the brain. Homeostatic plasticity moves the neuron back towards its original state following a perturbation, including perturbations produced by Hebbian plasticity. How then does homeostatic plasticity avoid erasing the Hebbian coded information? To understand how plasticity works in the brain, and therefore to understand learning, memory, sensory adaptation, development and recovery from injury, requires development of a theory of plasticity that integrates both forms of plasticity into a whole. In April 2016, a group of computational and experimental neuroscientists met in London at a discussion meeting hosted by the Royal Society to identify the critical questions in the field and to frame the research agenda for the next steps. Here, we provide a brief introduction to the papers arising from the meeting and highlight some of the themes to have emerged from the discussions.This article is part of the themed issue 'Integrating Hebbian and homeostatic plasticity'.
赫布可塑性被广泛认为是信息在大脑神经元中进行编码和存储的机制。稳态可塑性会在受到扰动(包括由赫布可塑性产生的扰动)后,使神经元恢复到其原始状态。那么稳态可塑性是如何避免抹去赫布编码信息的呢?要理解可塑性在大脑中的工作方式,进而理解学习、记忆、感觉适应、发育以及损伤恢复,就需要发展一种将这两种可塑性形式整合为一个整体的可塑性理论。2016年4月,一群计算和实验神经科学家在伦敦参加了由皇家学会主办的一次讨论会,以确定该领域的关键问题,并为后续步骤制定研究议程。在此,我们简要介绍会议产生的论文,并突出讨论中出现的一些主题。本文是主题为“整合赫布可塑性和稳态可塑性”特刊的一部分。