论文标题
理论神经科学的当前和未来框架：社区讨论的结果
Present and future frameworks of theoretical neuroscience: outcomes of a community discussion
论文作者
论文摘要
我们在国家科学基金会的支持下组织了一个关于“理论神经科学的当前和未来框架”的研讨会。目的是确定该领域将需要解决的挑战和策略，以结合大脑计划开发的技术的大量和多规模的实验数据流。参与者分裂了工作组，确定了五个关键领域，尽管并不详尽，但涵盖了需要开发的当前挑战的多个方面：动态统计；多尺度集成；编码;脑体整合；和神经科学理论的结构。尽管每个领域都是不同的，但在寻找理论途径以通过更抽象的编码和计算方法结合生物物理学，能量学和伦理学。会议结束后，每个工作组都继续工作，以发展在那里的种子，这些想法已开始发表。在这里，我们提供了每个工作组的讨论的观点，即在当前的理论神经科学基础上建立基础，并通过合并多尺度信息来扩展它们，以便将机械洞察力提供给神经系统。
We organized a workshop on the "Present and Future Frameworks of Theoretical Neuroscience", with the support of the National Science Foundation. The objective was to identify the challenges and strategies that this field will need to tackle in order to incorporate vast and multi-scale streams of experimental data from the technologies developed by the BRAIN initiative. The participants, divided in workgroups, identified five key areas that, while not exhaustive, cover multiple aspects of current challenges needed to be developed: Dynamics-statistics; multi-scale integration; coding; brain-body integration; and structure of neuroscience theories. While each area is different, there were coincidences on finding theoretical paths to incorporate biophysics, energetics, and ethology with more abstract coding and computational approaches. Each workgroup has continued to work after the meeting to develop the ideas seeded there, which are started to being published. Here, we provide a perspective of the discussions of each workgroup that point to building on the present foundations of theoretical neuroscience and extend them by incorporating multi-scale information with the objective of providing mechanistic insights into the nervous system.
