找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Brain Dynamics; An Introduction to M Hermann Haken Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Computational Neuroscienc

[復(fù)制鏈接]
查看: 50812|回復(fù): 59
樓主
發(fā)表于 2025-3-21 16:26:37 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Brain Dynamics
期刊簡稱An Introduction to M
影響因子2023Hermann Haken
視頻videohttp://file.papertrans.cn/191/190155/190155.mp4
發(fā)行地址Includes supplementary material:
學科分類Springer Series in Synergetics
圖書封面Titlebook: Brain Dynamics; An Introduction to M Hermann Haken Book 2008Latest edition Springer-Verlag Berlin Heidelberg 2008 Computational Neuroscienc
影響因子.Brain Dynamics. serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. Topics also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiological system..The second edition has been thoroughly updated and augmented by two extensive chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added..
Pindex Book 2008Latest edition
The information of publication is updating

書目名稱Brain Dynamics影響因子(影響力)




書目名稱Brain Dynamics影響因子(影響力)學科排名




書目名稱Brain Dynamics網(wǎng)絡(luò)公開度




書目名稱Brain Dynamics網(wǎng)絡(luò)公開度學科排名




書目名稱Brain Dynamics被引頻次




書目名稱Brain Dynamics被引頻次學科排名




書目名稱Brain Dynamics年度引用




書目名稱Brain Dynamics年度引用學科排名




書目名稱Brain Dynamics讀者反饋




書目名稱Brain Dynamics讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:18:07 | 只看該作者
The Neuron – Building Block of the Braine often form a treelike structure and the axon that, eventually, branches (Figs. 2.1 and 2.2). Information produced in other neurons is transferred to the neuron under consideration by means of localized contacts, the synapses, that are located on the dendrites and also on the cell body. Electrical
板凳
發(fā)表于 2025-3-22 02:30:28 | 只看該作者
Neuronal Cooperativity the visual system. Since a number of important experiments that concern the cooperation of neurons have been performed on this system, we will briefly describe it in this section. At the same time, we will see how this organization processes visual information. So let us follow up the individual st
地板
發(fā)表于 2025-3-22 08:08:13 | 只看該作者
Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Importantis chapter. The speedy reader will read Sect. 4.1 that shows how to mathematically describe spikes (or short pulses). Section 4.4 deals with a simple model of how the conversion of axonal spikes into dendritic currents at a synapse can be modeled. Finally, we will need the fundamental concept of pha
5#
發(fā)表于 2025-3-22 09:30:32 | 只看該作者
6#
發(fā)表于 2025-3-22 15:11:20 | 只看該作者
Many Neurons, General Case, Connection with Integrate and Fire ModelIn the present chapter we want to treat the more realistic model of Chap. 7 in detail. It connects the phase of the axonal pulses with the action potential . of the corresponding neuron and takes the damping of . into account. Furthermore, in accordance with other neuronal models, the response of th
7#
發(fā)表于 2025-3-22 17:50:27 | 只看該作者
Pattern Recognition Versus Synchronization: Pattern Recognitionon is, indeed, a well-established experimental fact. Occasionally, in Sects. 6.4 and 6.5 we had a look at the capability of such a network to recognize patterns. The network we studied could perform pattern recognition only to some extent, especially it was not able to fully distinguish between patt
8#
發(fā)表于 2025-3-22 23:28:08 | 只看該作者
9#
發(fā)表于 2025-3-23 04:46:25 | 只看該作者
10#
發(fā)表于 2025-3-23 07:31:51 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 06:55
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
隆昌县| 扬中市| 开原市| 静海县| 呼和浩特市| 丽江市| 清镇市| 凯里市| 江孜县| 尉犁县| 故城县| 余江县| 武乡县| 昭通市| 雅安市| 英山县| 项城市| 鹿泉市| 平度市| 青川县| 秦皇岛市| 宁强县| 永嘉县| 德格县| 齐齐哈尔市| 石狮市| 丹棱县| 冀州市| 新余市| 拉萨市| 五大连池市| 英吉沙县| 柳州市| 秦皇岛市| 鹰潭市| 长葛市| 马尔康县| 德令哈市| 资溪县| 桂阳县| 凤庆县|