Center for Research in Computational Neuro-Cognition

该生物设施中心提案要求资金用于 购买思维机器CMlB连接机与l6，384 处理元件和每个元件64千位的存储器， 计算神经认知研究中心。 这 这台机器是世界上最强大的计算机之一， 它提供的并行度非常高， 在最大配置中，65，536个并发位操作。 它主要用于执行程序， 数以万计的小的，简单的，互动的 单位，正是在建模中发现的各种元素， 视觉系统、联想记忆和其他神经认知 结构以及遗传和进化数据。 该中心的参与者致力于从根本上 认知的计算观点，专注于人类和其他 动物代表和操纵信息。 该中心是 高度多学科，包括神经科学教师， 计算机科学，语言学，心理学，进化生物学， 数学和其他部门。 具体的研究项目 将使用连接机的设备包括： 提出了语言的生物计算模型， 神经磁成像，开发一个近期记忆的模型， 探索类比问题解决，产生一个自动图像 基于生物学原理的识别系统 Grossberg的大脑功能理论， 视觉的结构模型，并模拟生态和 进化过程

This Biological Facilities Center proposal requests funds to purchase a Thinking Machines CMlB Connection Machine with l6,384 processing elements and 64 Kbits of memory per element for the Center for Research in Computational Neuro-Cognition. This machine is one of the most powerful computers in the world owing to the extraordinary degree of parallelism it provides--up to 65,536 concurrent bit operations in the maximal configuration. It is useful primarily for executing programs that manipulate tens of thousands to millions of small, simple, interacting units, exactly the kinds of elements that are found in modeling vision systems, associative memories, and other neuro-cognitive structures as well as genetic and evolutionary data. The participants in the Center are committed to a fundamentally computational view of cognition, focusing on how humans and other animals represent and manipulate information. The Center is highly multidisciplinary, including faculty from neuroscience, computer science, linguistics, psychology, evolutionary biology, mathematics, and other departments. Specific research projects for which the connection machine will be used include: to advance a biological computation model of langugage, neuromagnetic imaging, to develop a model of recent memory, to explore analogical problem solving, to produce an automatic image identification system using biological principles based on Grossberg's theories of brain function, to develop parallel structural models of vision, and to simulate ecological and evolutionary processes.