Dissemination of the Human Neocortical Neurosolver (HNN) software for circuit level interpretation of human MEG/EEG

HNN U24传播项目总结 人类新皮层神经求解器（HNN）神经建模工具是由BRAIN Initiative资助开发的 （R 01 EB 022889：09/2016-06/2020）以实现该倡议的目标，即“开发创新技术， 大脑电路和电路的集合，告知人类大脑的理解和 治其病”。HNN是具有适当物理学的生物病理学原理的新皮层电路模型， 允许从宏观人类磁和脑电图（M/EEG）信号桥接到他们的细胞 和电路级发生器。HNN是一个假设开发和测试工具，其设计和功能 与其他M/EEG神经建模软件相比是独一无二的。HNN的一个关键价值是在功能上连接- 在动物模型中研究的电路级动态的相关人类信号，包括革命性的 用于小鼠和猴子的遗传和成像工具（例如，神经像素记录、钙和电压成像）。 这些联系对于发现大脑信息处理的新原理和开发 当这种处理被神经病理学破坏时进行治疗。M/EEG的使用非常广泛， 从这些关于人类大脑功能和健康的信号中得出的推论：HNN提供了一个高度可访问的 这是研究人员与这些信号背后的详细神经元和电路建立原则性联系的工具， 在电路级现实中测试新的想法和基础结论。 神经科学界积极参与HNN在基础和临床研究中的应用，包括 阿尔茨海默氏症、自闭症谱系障碍、疼痛、抑郁症和健康发展的研究。而 HNN已经成功开发，但在增长和长期可持续性方面仍存在一些挑战。的 该提案的目标是支持HNN的传播，以便广泛使用和社区驱动 发展确定了维护HNN代码和文档的挑战，以确保可查找性， 可访问性、互操作性和可重用性将得到解决（目标I），以及必要的关键增强， 支持最终用户的需要和实验验证模型得出的预测将开发（目标二）。 用HNN的大规模神经网络解释M/EEG信号的复杂多尺度起源往往需要域 在计算神经建模，人类M/EEG和神经动力学方面的专业知识。为了满足这一需求，我们将 继续与社区合作，通过研讨会，直接合作， 并与最终用户团体协商，并通过在免费访问的超级计算机上启用HNN模拟 (Aim III）。最终用户的反馈和记录在案的支持需求将用于制定可持续性计划。一 一个世界级的指导委员会包括广泛采用的神经科学软件的开发人员，他们将分享 他们的专业知识，以帮助HNN达到其最大的潜力，作为翻译神经科学工具。

HNN U24 DISSEMINATION PROJECT SUMMARY The Human Neocortical Neurosolver (HNN) neural modeling tool was developed with BRAIN Initiative funding (R01EB022889: 09/2016–06/2020) to meet the Initiative’s goal to “develop innovative technologies to understand brain circuits and ensembles of circuits that inform understanding of the human brain and mechanisms for treating its disorder”. HNN is a biophysically principled neocortical circuit model with appropriate physics that allow bridging from macroscale human magneto- and electro-encephalography (M/EEG) signals to their cellular and circuit level generators. HNN is a hypothesis development and testing tool whose design and capabilities are unique compared to other M/EEG neural modeling software. A key value of HNN is to connect functionally- relevant human signals to circuit level dynamics studied in animal models, including data from revolutionary genetic and imaging tools used in mice and monkeys (e.g., Neuropixel recordings, calcium, and voltage imaging). These links are essential to discovering new principles of brain information processing and to developing treatments when this processing is disrupted by neuropathology. There is widespread use of M/EEG, and myriad inferences drawn from these signals about human brain function and health: HNN provides a highly accessible tool for researchers to make principled connections to the detailed neurons and circuits underlying these signals, to test new ideas and ground conclusions in circuit-level reality. The neuroscience community is actively engaged in the use of HNN for basic and clinical research, including studies of Alzheimer’s disease, autism spectrum disorder, pain, depression, and healthy development. While HNN was successfully developed, there remain several challenges for growth and long-term sustainability. The goal of this proposal is to support dissemination of HNN for broadly accessibly use and community-driven development. Identified challenges in maintenance of HNN’s code and documentation that ensure Findability, Accessibility, Interoperability, and Reusability will be addressed (Aim I), and key enhancements necessary to support end-user needs and experimental validation of model-derived predictions will be developed (Aim II). Interpreting the complex multiscale origin of M/EEG signals with HNN’s large-scale neural often requires domain expertise in computational neural modeling, human M/EEG, and neural dynamics. To support this need, we will continue to work with the community to integrate HNN into their projects through workshops, direct collaboration, and consultation with end-user groups, and by enabling HNN simulation on freely accessible supercomputers (Aim III). End-user feedback and documented support needs will be used to develop a Plan for Sustainability. A world-class Steering Committee includes developers of widely-adopted neuroscience software who will share their expertise to help HNN reach its maximal potential as translational neuroscience tool.