Deadwyler Sam A, Berger Theodore W, Opris Ioan, Song Dong, Hampson Robert E
Department of Physiology & Pharmacology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1083, USA.
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way (DRB140), Los Angeles, CA 90089-1111, USA.
Brain Res. 2015 Sep 24;1621:335-44. doi: 10.1016/j.brainres.2014.12.037. Epub 2014 Dec 29.
Hippocampal CA1 and CA3 neurons sampled randomly in large numbers in primate brain show conclusive examples of hierarchical encoding of task specific information. Hierarchical encoding allows multi-task utilization of the same hippocampal neural networks via distributed firing between neurons that respond to subsets, attributes or "categories" of stimulus features which can be applied in events in different contexts. In addition, such networks are uniquely adaptable to neural systems unrestricted by rigid synaptic architecture (i.e. columns, layers or "patches") which physically limits the number of possible task-specific interactions between neurons. Also hierarchical encoding is not random; it requires multiple exposures to the same types of relevant events to elevate synaptic connectivity between neurons for different stimulus features that occur in different task-dependent contexts. The large number of cells within associated hierarchical circuits in structures such as hippocampus provides efficient processing of information relevant to common memory-dependent behavioral decisions within different contextual circumstances. This article is part of a Special Issue entitled SI: Brain and Memory.
在灵长类动物大脑中大量随机采样的海马体CA1和CA3神经元显示出任务特定信息分层编码的确凿例子。分层编码允许通过对刺激特征的子集、属性或“类别”做出反应的神经元之间的分布式放电,对相同的海马神经网络进行多任务利用,这些刺激特征可应用于不同情境中的事件。此外,此类网络特别适合不受严格突触结构(即柱、层或“斑块”)限制的神经系统,因为这种结构会物理限制神经元之间可能的任务特定相互作用的数量。而且分层编码不是随机的;它需要多次接触相同类型的相关事件,以提高在不同任务相关情境中出现的不同刺激特征的神经元之间的突触连接性。海马体等结构中相关分层回路内的大量细胞,为不同情境下与常见的依赖记忆的行为决策相关的信息提供了高效处理。本文是名为“SI:大脑与记忆”的特刊的一部分。