神经脉冲序列畸变分布的光遗传学匹配
Distortion Distribution of Neural Spike Train Sequence Matching with Optogenetics
摘要：
本文利用一个简单的光遗传学模型，比较了随机产生的目标发放序列和外部刺激的神经元发放序列之间的时序失真。光遗传学是神经科学的一个新兴领域，其中神经元被遗传修饰以表达光敏受体，从而能够在神经元放电时进行外部控制。鉴于神经元信号在大脑和整个身体中的突出性，光遗传学在提高对神经系统的理解和开发神经系统疾病的治疗方面具有显著的潜力。本文主要考虑两种不同的失真措施。第一个测量是外部刺激尖峰的延迟。第二个度量是目标和刺激尖峰序列的滤波输出之间的均方根误差。当目标序列生成速率足够低时，以封闭形式导出失真的平均值和分布。所有推导的结果都得到了模拟的支持。这项工作是一个分析模型，以预测是否不同的脉冲序列观察到相同的刺激，更广泛的目标是理解的数量和可靠性的信息，可以由神经元。
英文摘要：
This paper uses a simple optogenetic model to compare the timing distortion between a randomly-generated target spike sequence and an externally-stimulated neuron spike sequence. Optogenetics is an emerging field of neuroscience where neurons are genetically modified to express light-sensitive receptors that enable external control over when the neurons fire. Given the prominence of neuronal signaling within the brain and throughout the body, optogenetics has significant potential to improve the understanding of the nervous system and to develop treatments for neurological diseases. This paper primarily considers two different distortion measures. The first measure is the delay in externally-stimulated spikes. The second measure is the root mean square error between the filtered outputs of the target and stimulated spike sequences. The mean and the distribution of the distortion is derived in closed form when the target sequence generation rate is sufficiently low. All derived results are supported with simulations. This work is a step towards an analytical model to predict whether different spike trains were observed from the same stimulus, and the broader goal of understanding the quantity and reliability of information that can be carried by neurons.
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。
