Behavioral, Physiological, and Quantitative Models of Pro-Social Behavior

亲社会行为的行为、生理和定量模型

• 批准号: 9160973
• 负责人: Andrea Angelides Chiba
• 金额: $ 51.72万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9160973
• 关键词: Amygdaloid structure; Animal Model; Autonomic nervous system; Behavior; Behavior Control; Behavioral; Behavioral Model; Biological Models; Brain; Cardiac; Child; Data; Development; Diagnosis; Disease; Electronics; Empathy; Engineering; Equilibrium; Family Relationship; Foundations; Future; Health; Heart Rate; Human; Individual; Information Theory; Intervention; Left; Logistic Regressions; Machine Learning; Measures; Medical; Mental Health; Modeling; Participant; Partner in relationship; Phenotype; Physiological; Probability; Psychopathology; Rattus; Regulation; Research; Respiration; Robotics; Rodent; Schizotypal Personality Disorder; Schools; Signal Transduction; Social Behavior; Stress; Structure; System; Time; To specify; Wireless Technology; Work; antisocial behavior; design; developmental disease; dynamic system; experience; improved; innovation; interdisciplinary approach; mental health related disorder; model development; neural model; neurotransmission; novel; physical conditioning; programs; relating to nervous system; respiratory; sensor; signal processing; social; stressor; success; technique development; theories; tool

Project Summary: This project represents an interdisciplinary approach to modeling the neural and physiological dynamics of prosocial behavior. Advances in wireless electronics, wearable sensors, computing power, machine learning, signal processing, robotics, information theory, and neuromorphic engineering combined with innovative behavioral design and social neuroanatomical theory make possible the launch of a novel and integrative effort to model the dynamics underlying prosociality. Leveraging the expertise of our highly collaborative cross-functional team we aim to: (1) characterize the physiological (brain/autonomic) signatures of committing a prosocial act; (2) characterize the physiological signatures of experiencing/receiving a prosocial act; (3) quantify the extent to which the physiological dynamics of the recipient, while experiencing a stressful behavioral epoch, predict their social decisions as the actor; and (4) develop the iRat as an “ethnodroid”, designed to elicit social behaviors through its own behavior while acting as a videographer in close proximity to the rats. Success in achieving all or even a subset of the target capabilities will demonstrate the power of this innovative approach in a virtually limitless array of medical applications. Results of the proposed project will serve as a game-changing springboard for the development of models of coordination and regulation of the brain and body towards efficacious sociality. The work will provide a foundation for future development of techniques to modulate the system for the purpose of restoring balance, regulation, and prosociality towards improved mental and physical health, in addition to interventions aimed towards preventative health. A byproduct of the work will involve technological advances for measuring physiological signals in a relatively unobtrusive fashion and in the development of contextual robotic tools for assessing social behavior. Such advancements will spur additional research programs. Nationally and Internationally, the development and display of prosocial behavior has been associated with more functional family relationships, with stronger mental health, with higher success in school, with greater physical health, and with better empathic responding. Thus, engaging in the proposed research and understanding the predictive dynamics of the system can allow the development of quantitative metrics for diagnosis, treatment and understanding of stress-related mental health disorders – that modulate or are modulated by – social dynamics.

项目摘要： 这个项目代表了一个跨学科的方法来模拟神经和生理 亲社会行为的动力学无线电子、可穿戴传感器、计算技术的进步 电力、机器学习、信号处理、机器人技术、信息论和神经形态学 结合创新行为设计和社会神经解剖学理论的工程学 使一个新的和综合的努力，以模拟动力学的基础， 亲社会性 利用我们高度协作的跨职能团队的专业知识，我们的目标是： (1)描述做出亲社会行为的生理（大脑/自主神经）特征; (2)表征经历/接受亲社会行为的生理特征; (3)量化接受者的生理动力学的程度，同时经历 压力行为时期，预测他们作为演员的社会决策;（4）开发iRat 作为一个“ethnodroid”，旨在通过自己的行为引发社会行为，同时作为一个 摄像师在老鼠附近。 成功实现所有目标能力，甚至是目标能力的一部分，将证明 这种创新的方法在几乎无限的医疗应用中。结果 拟议的项目将作为一个改变游戏规则的跳板， 大脑和身体的协调和调节，以实现有效的社会性。这项工作将 为将来开发技术提供基础，以便为 目的是恢复平衡，调节和亲社会性，以改善身心健康 健康，以及旨在预防性健康的干预措施。工作的副产品 将涉及测量生理信号的技术进步， 不引人注目的时尚，并在开发上下文机器人工具，评估社会 行为这些进步将刺激更多的研究项目。 在国内和国际上，亲社会行为的发展和表现一直是 与更多的功能性家庭关系，更强的心理健康，更高的 在学校取得成功，身体健康，有更好的同理心反应。因此，在本发明中， 参与拟议的研究并了解系统的预测动态 可以允许开发用于诊断、治疗和理解的定量指标， 与压力有关的心理健康障碍-调节社会动态或受社会动态调节。