Quillfeldt Jorge Alberto
Psychobiology and Neurocomputation Lab, Department of Biophysics, Institute of Biosciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Neurosciences Graduate Program, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Front Synaptic Neurosci. 2019 Feb 13;11:1. doi: 10.3389/fnsyn.2019.00001. eCollection 2019.
The ability to adapt to new situations involves behavioral changes expressed either from an innate repertoire, or by acquiring experience through memory consolidation mechanisms, by far a much richer and flexible source of adaptation. Memory formation consists of two interrelated processes that take place at different spatial and temporal scales, , local plastic changes in the recruited neurons, and process of gradual reorganization of the explicit/declarative memory trace between hippocampus and the neocortex. In this review, we summarize some converging experimental results from our lab that support a normal temporal framework of memory systems consolidation as measured both from the anatomical and the psychological points of view, and propose a hypothetical model that explains these findings while predicting other phenomena. Then, the same experimental design was repeated interposing additional tasks between the training and the remote test to verify for any interference: we found that (a) when the animals were subject to a succession of new learnings, systems consolidation was accelerated, with the disengagement of the hippocampus taking place before the natural time point of this functional switch, but (b) when a few reactivation sessions reexposed the animal to the training context without the shock, systems consolidation was delayed, with the hippocampus prolonging its involvement in retrieval. We hypothesize that new learning recruits from a fixed number of plastic synapses in the CA1 area to store the engram index, while reconsolidation lead to a different outcome, in which additional synapses are made available. The first situation implies the need of a reset mechanism in order to free synapses needed for further learning, and explains the acceleration observed under intense learning activity, while the delay might be explained by a different process, able to generate extra free synapses: depending on the cognitive demands, it deals either with a fixed or a variable pool of available synapses. The Synaptic Occupancy/Reset Theory (SORT) emerged as an explanation for the temporal flexibility of systems consolidation, to encompass the two different dynamics of explicit memories, as well as to bridge both synaptic and systems consolidation in one single mechanism.
适应新情况的能力涉及通过先天行为模式表现出的行为变化,或者通过记忆巩固机制获取经验来实现,而后者是一种更为丰富和灵活的适应来源。记忆形成包括两个相互关联的过程,它们发生在不同的空间和时间尺度上,即募集神经元中的局部可塑性变化,以及海马体和新皮层之间显性/陈述性记忆痕迹的逐渐重组过程。在本综述中,我们总结了来自我们实验室的一些趋同实验结果,这些结果从解剖学和心理学角度支持了记忆系统巩固的正常时间框架,并提出了一个假设模型来解释这些发现,同时预测其他现象。然后,重复相同的实验设计,在训练和远程测试之间插入额外的任务以验证是否存在干扰:我们发现,(a)当动物经历一系列新的学习时,系统巩固加速,海马体在这种功能转换的自然时间点之前就脱离了,但是(b)当一些重新激活环节让动物在没有电击的情况下再次接触训练情境时,系统巩固被延迟,海马体在检索过程中的参与时间延长。我们假设新的学习从CA1区域固定数量的可塑性突触中招募来存储记忆索引,而重新巩固则导致不同的结果,即有更多的突触可用。第一种情况意味着需要一种重置机制来释放进一步学习所需的突触,并解释了在高强度学习活动下观察到的加速现象,而延迟可能由一个不同的过程来解释,这个过程能够产生额外的自由突触:根据认知需求,它处理的是固定或可变的可用突触池。突触占用/重置理论(SORT)应运而生,以解释系统巩固的时间灵活性,涵盖显性记忆的两种不同动态,并在单一机制中连接突触巩固和系统巩固。