波到脉冲生成。从振荡突触到action电位的训练
Wave to pulse generation. From oscillatory synapse to train of action potentials
摘要：
当神经元达到在突触后神经元产生动作电位所需的电压时，神经元具有将信息从突触前终端树突处的数字信号转换为突触间隙处的模拟波并转换回数字脉冲的能力。本研究的主要问题是什么过程产生的振荡波信号在突触间隙和什么是这种现象的最佳模型。在这里，它提出了一个模型的突触作为一个振荡系统能够同步考虑到信息的保存，因此在内部的突触间隙的频率。动作电位序列当然会编码并沿着神经系统传递信息，但大多数时候神经元并不传递动作电位，99%的神经元处于阈下状态，只有小信号，没有能量发出动作电位，携带着大部分信息。所提出的突触模型，平滑动作电位的训练并保持其频率。突触在这里被呈现为由通过干涉测量法变换的输入波组成的系统。波的集体突触干扰模式将反映密度波突触功能的最大振幅的点是“粒子”的位置，在我们的情况下动作电位，具有其最高的概率。
英文摘要：
Neurons have the capability of transforming information from a digital signal at the dendrites of the presynaptic termi- nal to an analogous wave at the synaptic cleft and back to a digital pulse when they achieve the required voltage for the generation of an action potential at the postsynaptic neuron. The main question of this research is what processes are generating the oscillatory wave signal at the synaptic cleft and what is the best model for this phenomenon. Here, it is proposed a model of the synapse as an oscillatory system capable of synchronization taking into account conservation of information and consequently of frequency at the interior of the synaptic cleft. Trains of action potentials certainly encode and transmit information along the nervous system but most of the time neurons are not transmitting action potentials, 99 percent of their time neurons are in the sub threshold regime were only small signals without the energy to emanate an action potential are carrying the majority of information. The proposed model for a synapse, smooths the train of action potential and keeps its frequency. Synapses are presented here as a system composed of an input wave that is transformed through interferometry. The collective synaptic interference pattern of waves will reflect the points of maximum amplitude for the density wave synaptic function were the location of the "particle" in our case action potential, has its highest probability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
