Brown Postdoctoral Training Program in Computational Psychiatry

理解精神疾病和推进精神病治疗的目标需要基本的 不仅了解环境、遗传和表观遗传因素是功能和功能障碍的基础， 而且还包括这些因素如何改变作为行为的最接近神经事件的电路级计算。 这一领域研究的出现有望将神经回路的核心计算与复杂的 人类行为，最终目标是开发全面的，多层次的transdiagnosis模型， 神经精神障碍因此，计算精神病学的新兴领域是核心， NIMH的使命。尽管它很重要，但在这一领域进行培训的机会很少。 因此，拟议的培训计划旨在采取最近的博士学位，在各领域的强大背景 如神经科学、工程学、应用数学和计算机科学，并为他们提供工具， 为计算精神病学的新兴领域做出了重要贡献。拟议的培训计划 在计算精神病学（TPCP）将在布朗大学举行，那里有一个基本的临界质量 主校区的研究人员和精神病学和人类学系的临床研究人员 进行这种训练计划的行为。我们建议招收六名研究员（每年3名）参加TPCP， 培训的目标，更有效和更有效地，非临床研究人员能够合作， 临床研究人员推进精神疾病和治疗的知识。该计划包括一个 学徒模式，研究员与计算领域的初级研究培训师和 临床精神病学的二级研究导师在这种学徒模式中，培训师与 研究员和二级临床精神病学导师，他正在进行以下领域的研究， 神经成像、神经刺激和数字表型。这些研究领域特别有利于 解决计算精神病学中的重要问题，无论是模型/理论驱动还是数据驱动。 拟议的教学计划将包括核心研讨会和个性化课程，包括 神经科学、计算机科学、工程学、应用数学或精神病学的研究员选修课程 紊乱所有的研究员都参加了关于拨款写作、负责任的研究行为和严谨性的核心研讨会， 再现性短期的最终产品是一个计算精神病学主题的NIH拨款申请。 长期目标是培养一批新的学者，他们可以在计算领域进行研究。 精神病学和培养下一代的研究生在这个新兴的调查领域。

The goal of understanding psychiatric disorders and advancing psychiatric treatments requires basic knowledge of not only what environmental, genetic and epigenetic factors underlie function and dysfunction, but also how these factors alter the circuit-level computations that are the proximal neural events to behavior. The advent of research in this area holds the promise of linking core computations of neural circuits to complex human behavior, with the ultimate goal of developing comprehensive, multilevel transdiagnostic models of neuropsychiatric disorders. Consequently, the emerging field of computational psychiatry is central to the NIMH mission. Despite its importance, there are very few opportunities to pursue training in this area. Consequently, the proposed training program seeks to take recent PhDs, with strong backgrounds in fields such as neuroscience, engineering, applied math, and computer science, and provide them with the tools to make important contributions to the nascent field of computational psychiatry. The proposed Training Program in Computational Psychiatry (TPCP) will take place at Brown University where there is a critical mass of basic researchers on the main campus and clinical researchers in the Department of Psychiatry and Human Behavior to conduct such a training program. We propose enrolling six fellows (3 per year) in the TPCP with the goal of training, more efficiently and effectively, nonclinical research fellows capable of collaborating with clinical researchers to advance knowledge of psychiatric disorders and treatments. The program embraces an apprenticeship model in which fellows work with a primary research trainer in a computational field and a secondary research mentor in clinical psychiatry. In this apprenticeship model, the trainer works closely with the fellow and a secondary clinical psychiatry mentor, who is conducting research in areas such as neuroimaging, neurostimulation, and digital phenotyping. These research areas are especially conducive to addressing important issues in computational psychiatry, whether they be model/theory-driven or data-driven. The proposed didactic program will include both core seminars and an individualized curriculum including fellow-selected courses in neuroscience, computer science, engineering, applied mathematics, or psychiatric disorders. All fellows attend core seminars on grant writing, responsible conduct of research, and rigor and reproducibility. The short-term final product is an NIH grant application on a computational psychiatry topic. The long-term goal is to produce a new cohort of academics who can conduct research in computational psychiatry and train the next generation of graduate students in this emerging field of inquiry.