Suppr超能文献

计算神经科学

Computational neuroscience.

作者信息

Sejnowski T J, Koch C, Churchland P S

机构信息

Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218.

出版信息

Science. 1988 Sep 9;241(4871):1299-306. doi: 10.1126/science.3045969.

Abstract

The ultimate aim of computational neuroscience is to explain how electrical and chemical signals are used in the brain to represent and process information. This goal is not new, but much has changed in the last decade. More is known now about the brain because of advances in neuroscience, more computing power is available for performing realistic simulations of neural systems, and new insights are available from the study of simplifying models of large networks of neurons. Brain models are being used to connect the microscopic level accessible by molecular and cellular techniques with the systems level accessible by the study of behavior.

摘要

计算神经科学的最终目标是解释大脑如何利用电信号和化学信号来表示和处理信息。这个目标并不新鲜,但在过去十年里发生了很大变化。由于神经科学的进展,现在对大脑有了更多的了解;有了更强大的计算能力来对神经系统进行逼真的模拟;并且从对大型神经元网络简化模型的研究中获得了新的见解。大脑模型正被用于将分子和细胞技术可触及的微观层面与行为研究可触及的系统层面联系起来。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验