摘要
《机器人与机器学习每日新闻》的一名新闻记者兼新闻编辑，研究人员讨论了神经计算的新发现。根据NewsRx编辑来自纽约纽约市的新闻，该研究指出，"突触可塑性的规范模型使用计算原理来预测行为和网络层面的适应性现象"。新闻记者从纽约大学(NYU)的研究中获得了一句话：“近年来，这一领域的理论工作激增，但实验证实仍然有限。在这篇综述中，我们或组织了一系列关于规范塑性模型的工作，当满足时，设计的目的是确保给定模型显示出可塑性和适应性行为之间的明确联系，与关于神经可塑性的已知生物学证据一致，并产生具体的可测试预测。作为原型，我们包括了对强化算法的详细分析。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in neural computation. According to news originating from New York City, New York, by NewsRx editors, the research stated, “Normative models of synaptic plasticity use computational rationales to arrive at predictions of behavioral and network -level adaptive phenomena.” The news correspondents obtained a quote from the research from New York Univers ity (NYU): “In recent years, there has been an explosion of theoretical work in this realm, but experimental confirmation remains limited. In this review, we or ganize work on normative plasticity models in terms of a set of desiderata that, when satisfied, are designed to ensure that a given model demonstrates a clear link between plasticity and adaptive behavior, is consistent with known biologic al evidence about neural plasticity and yields specific testable predictions. As a prototype, we include a detailed analysis of the REINFORCE algorithm.”
NETL
NSTL