Di Maio Vito
Istituto di Cibernetica E. Caianiello del CNR, c/o Comprensorio Olivetti, Building 70, Via Campi Flegrei, 34, 80078, Pozzuoli (NA), Italy.
Brain Res. 2008 Aug 15;1225:26-38. doi: 10.1016/j.brainres.2008.06.016. Epub 2008 Jun 14.
The largest part of information passed among neurons in the brain occurs by the means of chemical synapses connecting the axons of presynaptic neurons to the dendritic tree of the postsynaptic ones. In the present paper, the most relevant open problems related to the mechanisms of control of the information passing among neurons by synaptic transmission will be shortly reviewed. The "cross talking" between synapses, their mutual interactions and the control of the information flow between different areas of the dendritic tree will be also considered. The threshold mechanism based on the "reversal potential" will be considered for its role in the control of information transfer among neurons and also for its contribution to the information flow among different areas of the dendritic tree and to the computational ability of the single neuron. The concept of "competition for plasticity" will be proposed as a mechanism of competition based on the synaptic activation time.
大脑中神经元之间传递的大部分信息是通过化学突触实现的,这些化学突触将突触前神经元的轴突与突触后神经元的树突相连。在本文中,将简要回顾与通过突触传递控制神经元间信息传递机制相关的最主要的未解决问题。还将考虑突触之间的“串扰”、它们的相互作用以及树突不同区域之间信息流的控制。基于“反转电位”的阈值机制将因其在控制神经元间信息传递中的作用,以及对树突不同区域间信息流和单个神经元计算能力的贡献而被加以考虑。“可塑性竞争”的概念将被提出,作为一种基于突触激活时间的竞争机制。