论文标题
在使用STDP的闭环神经动物实验中探索前庭 - 眼部适应。模拟研究
Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study
论文作者
论文摘要
研究和理解我们神经系统的计算基础需要一套多样化和互补的技术。在这项工作中，我们使用神经动物平台（NRP）评估了由两个位于小脑分子层和前庭核的两个STDP机制介导的Ocullo Ocullo Ocular Cerebellar适应性（前骨 - 圆形反射，VOR）。这项仿真研究采用了神经科学家广泛使用的实验设置（旋转VOR），以更好地了解某些特定小脑特性（即分布式性STDP，神经特性，编码小脑拓扑等）对R-Vor适应的贡献。这项工作提出并描述了一个实施方案，我们通过NRP将模拟的类人生物机器人（ICUB）赋予了小脑模型，我们将人类机体面对R-VOR任务。结果验证了在感知行动闭环（r-vor）中验证尖刺小脑模型（具有STDP）的适应性能力，从而导致模拟ICUB机器人模仿人类的行为。
Studying and understanding the computational primitives of our neural system requires for a diverse and complementary set of techniques. In this work, we use the Neuro-robotic Platform (NRP)to evaluate the vestibulo ocular cerebellar adaptatIon (Vestibulo-ocular reflex, VOR)mediated by two STDP mechanisms located at the cerebellar molecular layer and the vestibular nuclei respectively. This simulation study adopts an experimental setup (rotatory VOR)widely used by neuroscientists to better understand the contribution of certain specific cerebellar properties (i.e. distributed STDP, neural properties, coding cerebellar topology, etc.)to r-VOR adaptation. The work proposes and describes an embodiment solution for which we endow a simulated humanoid robot (iCub)with a spiking cerebellar model by means of the NRP, and we face the humanoid to an r-VOR task. The results validate the adaptive capabilities of the spiking cerebellar model (with STDP)in a perception-action closed-loop (r- VOR)causing the simulated iCub robot to mimic a human behavior.
