Neuron Summer Conference

IBN 98-12317卡内维尔这个项目的目的是教科学家如何使用神经元，神经元是模拟神经细胞和大脑回路功能的强大工具。这门课程开辟了一条新的途径，通过它，神经科学研究人员和教师可以学习如何有效地利用这项重要的新技术。神经元是一种被广泛接受的模拟工具，专门为生物逼真的神经模型而设计。由于它运行在所有领先的计算平台(Unix/Linux、MSWindows 3.1、95、98和NT以及MacOS)上，因此在中国销售的几乎每一台笔记本电脑和台式计算机都能够执行研究质量的模拟。暑期短期课程为期5天，为期3年，每年开设一次。它将通过电子邮件列表和网页宣布，网址为：www.neron.yale.edu和www.npaci.edu。神经元对神经科学界的潜在重要性源于这样一个事实，即包括人类在内的所有动物的神经系统通过涉及分布在空间和时间上的电信号和化学信号的复杂相互作用的计算来执行诸如感知、学习和自适应控制等任务。长期以来，工程师和计算机科学家发现，要理解非生物计算机的操作，模拟是不可或缺的。然而，用于模拟计算机硬件的工具不太适合研究生物计算机(大脑)，因为人造系统的机械在结构和操作上与即使是最简单的动物的神经系统的“湿件”根本不同。为了达到方便和高效的有用水平，神经模拟器的设计必须考虑到生物系统的特殊特征。神经元课程将教授这些工具的使用。

IBN 98-12317 CARNEVALE The aim of this project is to teach scientists how to use NEURON, a powerful tool for simulating the function of nerve cells and brain circuits. This course opens a new avenue through which neuroscience investigators and teachers can learn to make productive use of this essential new technology. NEURON is a widely-accepted simulation tool designed specifically for biologically realistic neural models. Since it runs on all leading computational platforms (UNIX/Linux, MSWindows 3.1, 95, 98, and NT, and MacOS), virtually every laptop and desktop microcomputer sold in the country is capable of performing research-quality simulations. The 5-day "hands-on" summer short- course will be offered on an annual basis for three years. It will be announced through electronic email lists and through web pages at: www.neuron.yale.edu and www.npaci.edu. The potential importance of NEURON to the neuroscience community derives from the fact that the nervous systems of all animals, including human beings, perform tasks such as perception, learning, and adaptive control, through computations that involve the complex interactions of electrical and chemical signals that are distributed in space and time. Engineers and computer scientists have long found simulation to be indispensable for understanding the operation of nonbiological computers. However the tools used for simulating computer hardware are poorly suited to studying biological computers (brains), because the machinery of manmade systems is fundamentally different in construction and operation from the "wetware" of the nervous systems found in even the simplest animals. To achieve useful levels of convenience and efficiency, neural simulators must be designed to take the special features of biological systems into account. The NEURON course will teach the use of such tools.