找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Analysis of Neuronal Structures; Robert D. Lindsay Book 1977 Plenum Press, New York 1977 brain.cortex.nervous system.time

[复制链接]
查看: 35959|回复: 49
发表于 2025-3-21 18:12:04 | 显示全部楼层 |阅读模式
书目名称Computer Analysis of Neuronal Structures
编辑Robert D. Lindsay
视频videohttp://file.papertrans.cn/234/233454/233454.mp4
丛书名称Computers in Biology and Medicine
图书封面Titlebook: Computer Analysis of Neuronal Structures;  Robert D. Lindsay Book 1977 Plenum Press, New York 1977 brain.cortex.nervous system.time
描述It seems particularly appropriate that this pioneering collection of papers should be dedicated to Donald Sholl since those of us who count, measure, and reconstruct elements of the neural en~emble are all very much in his debt. Sholl was certainly not the first to attempt quantification of certain aspects of brain structure. No computers were available to him for the kind of answers he sought, and some of his answers - or rather his interpretations - may not stand the test of time. But we remember him because of the questions he asked and for the reasons he asked them. At a time when the entire family of Golgi techniques was in almost total eclipse, he had the judgment to rely on them. And in a period when the canonical neuron was a perfect sphere (the enormous dendritic superstructure being almost forgotten), he was one of a very few who looked to dendrite extension and pattern as a prime clue to the overall problem of neuronal connectivity.
出版日期Book 1977
关键词brain; cortex; nervous system; time
版次1
doihttps://doi.org/10.1007/978-1-4684-0766-2
isbn_softcover978-1-4684-0768-6
isbn_ebook978-1-4684-0766-2
copyrightPlenum Press, New York 1977
The information of publication is updating

书目名称Computer Analysis of Neuronal Structures影响因子(影响力)




书目名称Computer Analysis of Neuronal Structures影响因子(影响力)学科排名




书目名称Computer Analysis of Neuronal Structures网络公开度




书目名称Computer Analysis of Neuronal Structures网络公开度学科排名




书目名称Computer Analysis of Neuronal Structures被引频次




书目名称Computer Analysis of Neuronal Structures被引频次学科排名




书目名称Computer Analysis of Neuronal Structures年度引用




书目名称Computer Analysis of Neuronal Structures年度引用学科排名




书目名称Computer Analysis of Neuronal Structures读者反馈




书目名称Computer Analysis of Neuronal Structures读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:21:14 | 显示全部楼层
s a perfect sphere (the enormous dendritic superstructure being almost forgotten), he was one of a very few who looked to dendrite extension and pattern as a prime clue to the overall problem of neuronal connectivity.978-1-4684-0768-6978-1-4684-0766-2
发表于 2025-3-22 02:56:10 | 显示全部楼层
Introduction to Social Network Computingthese limitations, the need for automated techniques in the morphological sciences was coupled to developing electronic technology over 20 years ago by J. Z. Young in his work with Causley on the flying-spot scanner (Causley and Young, 1955). Other early flying-spot scanners and related devices were
发表于 2025-3-22 08:31:40 | 显示全部楼层
发表于 2025-3-22 08:49:15 | 显示全部楼层
发表于 2025-3-22 14:34:36 | 显示全部楼层
发表于 2025-3-22 19:55:59 | 显示全部楼层
Yong Cheng,Zhang Lin,Alan M. L. Fongta-acquisition techniques have been developed to acquire the structural data for this model. Several detailed descriptions of systems for data acquisition have been presented in earlier chapters of this volume.
发表于 2025-3-22 22:18:57 | 显示全部楼层
Evaluation of Social Network Influence and organelles. Thus a system capable of automatically processing such information is of central importance if morphological studies are to be based on more than casual observation. The system should have the capability of semiautomated and manual input control for the processing of difficult material.
发表于 2025-3-23 01:56:36 | 显示全部楼层
发表于 2025-3-23 07:41:47 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-16 04:00
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表