×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [13]
北京大学 [6]
上海神经科学研究所 [5]
心理研究所 [5]
兰州理工大学 [3]
清华大学 [2]
更多...
内容类型
期刊论文 [46]
学位论文 [3]
会议论文 [2]
SCI/SSCI论文 [1]
其他 [1]
发表日期
2022 [4]
2020 [3]
2019 [5]
2018 [6]
2017 [3]
2016 [6]
更多...
学科主题
Neuroscien... [5]
Astronomy ... [1]
Computer S... [1]
Personalit... [1]
Physics [1]
工学 [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共53条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
How to wake up the electric synapse coupling between neurons?
期刊论文
Nonlinear Dynamics, 2022, 卷号: 108, 期号: 2, 页码: 1681-1695
作者:
Zhou, Ping
;
Zhang, Xiufang
;
Ma, Jun
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/04/21
Backpropagation
Energy balance
Neural networks
Energy
Energy functions
Field energy
Firing modes
Hamilton energy
Hamiltons
In-field
Neuron modeling
Synapse connections
Synapse function
Uncovering the genetic profiles underlying the intrinsic organization of the human cerebellum
期刊论文
MOLECULAR PSYCHIATRY, 2022, 页码: 16
作者:
Wang, Yaping
;
Chai, Lin
;
Chu, Congying
;
Li, Deying
;
Gao, Chaohong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/06
Symmetric-Adjoint and Symplectic-Adjoint Runge-Kutta Methods and Their Applications
期刊论文
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2022, 页码: 32
作者:
Sun, Geng
;
Gan, Siqing
;
Liu, Hongyu
;
Shang, Zaijiu
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Key words
Runge-Kutta method
symmetric
symplectic
adjoint
high-order
explicit method
Leading-Mode Connections of the Interannual Variability in Upper-Ocean Salinity in the Tropical Indian Ocean
期刊论文
Journal of Physical Oceanography, 2022, 卷号: 52, 期号: 12, 页码: 3309-3329
作者:
KE HUANG
;
MING FENG
;
YING WU
;
DONGXIAO WANG
;
WEN ZHOU
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/12/08
Indian Ocean
Atmosphere–ocean interaction
Salinity
Interannual variability
Field coupling synchronization between chaotic circuits via a memristor
期刊论文
AEU - International Journal of Electronics and Communications, 2020, 卷号: 115
作者:
Zhang, Xiufang
;
Wu, Fuqiang
;
Ma, Jun
;
Hobiny, Aatef
;
Alzahrani, Faris
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Magnetic fields
Memristors
Synchronization
Timing circuits
Bridge connections
Chaotic circuits
Complete synchronization
Coupling mechanism
Energy flow
Memristor
Phase synchronization
Synchronization transitions
Assessing Brain Networks by Resting-State Dynamic Functional Connectivity: An fNIRS-EEG Study
期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 13, 页码: 12
作者:
Zhang, Yujin
;
Zhu, Chaozhe
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/03/30
functional connectivity
resting state
dynamic
functional near-infrared spectroscopy
electroencephalogram
Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep
期刊论文
NEUROIMAGE-CLINICAL, 2020, 期号: 25, 页码: 18
作者:
Wang Shengpei
;
Yun, Li
;
Shuang, Qiu
;
Zhang Chuncheng
;
Wang Guyan
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/06/02
Resting-state functional magnetic resonance images (rs-fMRI)
Brain network
Rich-club organization
Propofol-induced sedation
Natural sleep
High-performance single-wall carbon nanotube transparent conductive films
期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2019, 卷号: 35, 期号: 11, 页码: 2447-2462
作者:
Jiang, Song
;
Hou, Peng-Xiang
;
Liu, Chang
;
Cheng, Hui-Ming
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/02/02
Single-wall carbon nanotube
Transparent conductive film
Junction resistance
Bundle
Doping
High-performance single-wall carbon nanotube transparent conductive films
期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2019, 卷号: 35, 期号: 11, 页码: 2447-2462
作者:
Jiang, Song
;
Hou, Peng-Xiang
;
Liu, Chang
;
Cheng, Hui-Ming
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/02/02
Single-wall carbon nanotube
Transparent conductive film
Junction resistance
Bundle
Doping
Diffusion induced graph representation learning
期刊论文
NEUROCOMPUTING, 2019, 卷号: 360, 页码: 220-229
作者:
Li, Fuzhen
;
Zhu, Zhenfeng
;
Zhang, Xingxing
;
Cheng, Jian
;
Zhao, Yao
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2019/12/16
Graph representation learning
Graph embedding
Diffusion model
Auto-encoder
Deep learning
©版权所有 ©2017 CSpace - Powered by
CSpace