GOAL-DIRECTED MODEL ACQUISITION AND RENDERING

该项目的长期目标是开发一种新的交互 神经科学中数据收集和分析的范例。这个 具体目标是创建一条制作数据集的“目的论管道”， 模特和图像。流水线在算法上结合了数据和 想象调查员的“目标”，表达和执行目标 通过交互计算手段。用户将制作MAN)的数据 以交互方式进行采集和图像决策，同时关闭环路 实验正在进行中。 目的流水线将应用于磁共振显微成像 成像。这个管道大致类似于“电子表格环境”。 用于MR数据收集和分析。目的论范式有助于 将“用户想要的”转化为约束优化问题，以及 其他在计算上容易处理的任务。该方法建立在加州的基础上 目的论建模方面的技术专长[见转载]。 目的论管道是一个强大的转换过程，转换目标 转化为计算程序。例如，使用受约束的工具 优化方法(相对于更多的启发式方法)。该方法 涉及创建软约束和硬约束以确定计算 实现用户请求的任务。 通过使用目的论管道以交互方式“关闭环路” 可能会对神经科学产生根本性的影响，也许同样重要 随着计算机穿孔卡片向交互式计算机的过渡 图形CRT屏幕。

The long term goal of this project is to develop a new interactive paradigm for data collection and analysis in the neurosciences. The specific aim is to create a "teleological pipeline" for making datasets, models, and images. The pipeline algorithmically incorporates data and image "goals" of the investigator, expressing and executing the goals through interactive computational means. The user would make man)' data acquisition and image decisions interactively, closing the loop while the experiment is in progress. The teleological pipeline will be applied to Magnetic Resonance Micro- imaging. The pipeline is roughly analogous to a "spread sheet environment" for MR data collection and analysis. The teleological paradigm helps to convert "what the user wants" into constrained optimization problems, and other tasks that are computationally tractable. The approach builds on Cal tech expertise in teleological modeling [see reprints]. The teleological pipeline is a robust conversion process, converting goals into computational procedures. Examples are tools which use constrained optimization methods (as opposed to more heuristic methods). The approach involves creating soft and hard constraints to determine computational tasks that achieve what the user has requested. 'Closing the loop' interactively through use of a teleological pipeline may have a fundamental impact in the neurosciences, perhaps as significant as the transition from computer punch cards to interactive computer graphics CRT screens.