具有再摄取和可逆受体结合的突触分子通讯通道模型
Channel Modeling for Synaptic Molecular Communication With Re-uptake and Reversible Receptor Binding
摘要：
在扩散分子通信（DMC）中，信息通过扩散分子来传输。突触信号是这种范式的自然实现。它负责将信息从一个神经元传递到另一个神经元，但也为学习和记忆等复杂功能提供支持。它的许多特征尚未被理解，然而，其中一些已知对于强大，可靠的神经通信至关重要。特别是，一些突触在突触前神经元处具有再摄取机制，这提供了一种从突触间隙中去除神经递质并将其回收用于将来再利用的方法。在本文中，我们开发了一个全面的通道模型突触DMC包括空间模型的突触间隙，分子再摄取在突触前神经元，和可逆结合到单个受体在突触后神经元。基于这个模型，我们推导出了突触DMC系统的信道脉冲响应（CIR）的时域解析表达式。我们的模型明确纳入宏观物理通道参数，并可用于评估再摄取，受体密度和通道宽度对突触DMC系统的CIR的影响。此外，我们提供了基于粒子的计算机模拟的结果，验证了分析模型。所提出的突触DMC系统的综合信道模型可以用于调查具有挑战性的问题，如连续突触信号之间的符号间干扰的量化和合成神经通信系统的设计。
英文摘要：
In Diffusive Molecular Communication (DMC), information is transmitted by diffusing molecules. Synaptic signaling is a natural implementation of this paradigm. It is responsible for relaying information from one neuron to another, but also provides support for complex functionalities, such as learning and memory. Many of its features are not yet understood, some are, however, known to be critical for robust, reliable neural communication. In particular, some synapses feature a re-uptake mechanism at the presynaptic neuron, which provides a means for removing neurotransmitters from the synaptic cleft and for recycling them for future reuse. In this paper, we develop a comprehensive channel model for synaptic DMC encompassing a spatial model of the synaptic cleft, molecule re-uptake at the presynaptic neuron, and reversible binding to individual receptors at the postsynaptic neuron. Based on this model, we derive an analytical time domain expression for the channel impulse response (CIR) of the synaptic DMC system. Our model explicitly incorporates macroscopic physical channel parameters and can be used to evaluate the impact of re-uptake, receptor density, and channel width on the CIR of the synaptic DMC system. Furthermore, we provide results from particlebased computer simulation, which validate the analytical model. The proposed comprehensive channel model for synaptic DMC systems can be exploited for the investigation of challenging problems, like the quantification of the inter-symbol interference between successive synaptic signals and the design of synthetic neural communication systems.
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。
