检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

291 篇 期刊文献
276 篇 会议
2 册 图书

馆藏范围

569 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

366 篇 工学
- 223 篇 计算机科学与技术...
- 166 篇 软件工程
- 91 篇 信息与通信工程
- 91 篇 生物医学工程（可授...
- 80 篇 生物工程
- 49 篇 控制科学与工程
- 45 篇 电气工程
- 43 篇 光学工程
- 28 篇 电子科学与技术（可...
- 25 篇 仪器科学与技术
- 21 篇 化学工程与技术
- 14 篇 机械工程
- 14 篇 材料科学与工程（可...
- 14 篇 土木工程
- 13 篇 建筑学
252 篇 理学
- 111 篇 生物学
- 95 篇 物理学
- 86 篇 数学
- 28 篇 统计学（可授理学、...
- 23 篇 化学
- 16 篇 系统科学
90 篇 医学
- 84 篇 临床医学
- 58 篇 基础医学(可授医学...
- 40 篇 药学(可授医学、理...
- 12 篇 医学技术（可授医学...
- 11 篇 特种医学
75 篇 管理学
- 40 篇 图书情报与档案管...
- 35 篇 管理科学与工程(可...
20 篇 法学
- 20 篇 社会学
14 篇 教育学
- 12 篇 心理学(可授教育学...
8 篇 农学
7 篇 艺术学
5 篇 文学
2 篇 哲学
1 篇 经济学
1 篇 历史学

主题

37 篇 electroencephalo...
26 篇 feature extracti...
20 篇 training
14 篇 semantics
12 篇 deep learning
12 篇 brain computer i...
12 篇 accuracy
11 篇 speech enhanceme...
10 篇 deep neural netw...
10 篇 brain modeling
10 篇 computational mo...
10 篇 machine learning
10 篇 artificial intel...
9 篇 neural networks
9 篇 face recognition
9 篇 speech recogniti...
8 篇 reinforcement le...
8 篇 correlation
8 篇 emotion recognit...
7 篇 learning systems

机构

14 篇 department of br...
14 篇 key laboratory o...
13 篇 department of br...
12 篇 department of co...
11 篇 center for cogni...
11 篇 department of br...
9 篇 department of co...
9 篇 key lab. of shan...
7 篇 center for cogni...
7 篇 brain and affect...
6 篇 state key labora...
6 篇 department of bi...
6 篇 department of co...
6 篇 university colle...
6 篇 school of comput...
6 篇 department of br...
6 篇 center for brain...
6 篇 dept. of brain a...
6 篇 department of co...
6 篇 center for cogni...

作者

38 篇 wang deliang
24 篇 müller klaus-rob...
17 篇 seong-whan lee
15 篇 lee seong-whan
15 篇 yu kai
11 篇 deliang wang
10 篇 lu bao-liang
10 篇 bao-liang lu
9 篇 tenenbaum joshua...
9 篇 samek wojciech
9 篇 jain anil k.
9 篇 wei-long zheng
9 篇 chen lu
9 篇 kai yu
8 篇 zhao hai
8 篇 montavon grégoir...
7 篇 pandey ashutosh
7 篇 wu si
7 篇 miyapuram krishn...
6 篇 tishby naftali

语言

499 篇 英文
67 篇 其他
6 篇 中文

检索条件"机构=Computer Science and Engineering and Cognitive Science and Brain Science Programs"

共 569 条记录，以下是551-560 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

cognitive learning and the multimodal memory game: Toward human-level machine learning

Cognitive learning and the multimodal memory game: Toward hu...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Byoung-Tak Zhang School of Computer Science and Engineering and Graduate Programs in Cognitive Science Brain Science and Bioinformatics Seoul National University Seoul South Korea

Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far from sufficient for achieving human-level intelligence. Here we identify the properties of learners required for human-level intelligence and suggest a new direction of machine learning research, i.e. the cognitive learning approach, that takes into account the recent findings in brain and cognitive sciences. In particular, we suggest two fundamental principles to achieve human-level machine learning: continuity (forming a lifelong memory continuously) and glocality (organizing a plastic structure of localized micromodules connected globally). We then propose a multimodal memory game as a research platform to study cognitive learning architectures and algorithms, where the machine learner and two human players question and answer about the scenes and dialogues after watching the movies. Concrete experimental results are presented to illustrate the usefulness of the game and the cognitive learning framework for studying human-level learning and intelligence.

关键词： Games Machine learning Humans Motion pictures Machine learning algorithms Joints Chemistry

来源：评论

学校读者我要写书评

暂无评论

Dependence of orientation tuning on recurrent excitation and inhibition in a network model of V1 08

Dependence of orientation tuning on recurrent excitation and...

引用

Proceedings of the 22nd International Conference on Neural Information Processing Systems

作者： Klaus Wimmer Marcel Stimberg Robert Martin Lars Schwabe Jorge Mariño James Schummers David C. Lyon Mriganka Sur Klaus Obermayer Bernstein Center for Computational Neuroscience and Technische Universität Berlin Germany Dept of Computer Science and Electrical Engineering University of Rostock Germany Dept of Medicine Neuroscience and Motor Control Group Univ. A Coruña Spain Dept of Brain and Cognitive Sci and Picower Ctr for Learning and Memory MIT Cambridge Dept of Anatomy and Neurobiology University of California Irvine

ISBN: (纸本)9781605609492

The computational role of the local recurrent network in primary visual cortex is still a matter of debate. To address this issue, we analyze intracellular recording data of cat V1, which combine measuring the tuning of a range of neuronal properties with a precise localization of the recording sites in the orientation preference map. For the analysis, we consider a network model of Hodgkin-Huxley type neurons arranged according to a biologically plausible two-dimensional topographic orientation preference map. We then systematically vary the strength of the recurrent excitation and inhibition relative to the strength of the afferent input. Each parametrization gives rise to a different model instance for which the tuning of model neurons at different locations of the orientation map is compared to the experimentally measured orientation tuning of membrane potential, spike output, excitatory, and inhibitory conductances. A quantitative analysis shows that the data provides strong evidence for a network model in which the afferent input is dominated by strong, balanced contributions of recurrent excitation and inhibition. This recurrent regime is close to a regime of "instability", where strong, self-sustained activity of the network occurs. The firing rate of neurons in the best-fitting network is particularly sensitive to small modulations of model parameters, which could be one of the functional benefits of a network operating in this particular regime.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency

Random Hypergraph Models of Learning and Memory in Biomolecu...

引用

IEEE Symposium on Foundations of Computational Intelligence, FOCI

作者： Byoung-Tak Zhang School of Computer Science and Engineering Brain Science and Cognitive Science Seoul National University Seoul South Korea

Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memory inspired by the biomolecular networks embedded in their environment. One fundamental question is how the systems rapidly adapt to their changing environment in a short period (learning) while performing persistently through the longer time span (memory). We study this issue in a probabilistic hypergraph model called the hypernetworks. The hypernetwork architecture consists of a huge number of randomly sampled hyperedges, each corresponding to higher-order micromodules in the input. We find that a system consisting of a large number of a wide range of heterogeneous low-dimensional components has a fairly competitive chance of long-term survival (memory, persistency) and short-term performance (learning, adaptability) as opposed to a system consisting of a small number of high-dimensional, fine-tuned, complex components. Empirical evidence is offered to support these findings and theoretical explanations are given

关键词： Bioinformatics Information processing Organisms Biological system modeling Genomics Proteomics Biology computing computer networks Computational intelligence Embedded computing

来源：评论

学校读者我要写书评

暂无评论

Language Understanding and Unified cognitive science

Language Understanding and Unified Cognitive Science

引用

IEEE International Conference on cognitive Informatics

作者： Jerry A. Feldman Department of Electrical Engineering and Computer Science Institute of Cognitive and Brain Sciences University of California Berkeley Berkeley CA USA

Summary form only given. Artificial intelligence applications, particularly those involving natural language understanding, are actually less ambitious than they, were decades ago. Statistical and machine learning techniques have had great success on tasks that can be treated without understanding, but there are many important areas that require semantic systems. The key to building more powerful AI applications is to model the world knowledge and the linguistic and other basic abilities that people bring to bear. We now know that these abilities can not be fully expressed in abstract formalisms, but require models that map onto human biology and behavior. cognitive science is the field that is best placed to unite the theory and applications of intelligence. However, as with other fields, there is a tendency to specialize in a narrow sub-domain. This talk will make the case that a unified cognitive science is now possible, based on rapid advances in all the relevant disciplines, including computational modeling, and that there are already applications of this more cognitive approach to AI.

关键词： cognitive science Artificial intelligence Biological system modeling Power system modeling Natural languages Machine learning Humans Computational biology Computational intelligence Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Incremental feature extraction and object representation based on dynamic visual selective attention

Incremental feature extraction and object representation bas...

引用

2007 International Conference on Artificial Intelligence, ICAI 2007

作者： Yeo, Jiyoung Ban, Sang-Woo Lee, Inwon Lee, Minho School of Electrical Engineering and Computer Science Kyungpook National University 1370 Sankyuk-Dong Puk-Gu Teagu 702-701 Korea Republic of Dept. of Brain and Cognitive Science Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139-4307 United States School of Electronic and Electrical Engineering Kyungpook National University 1370 Sankyuk-Dong Puk-Gu Taegu 702-701 Korea Republic of Dept. of Information and Communication Engineering Dongguk University 707 Seokjang-Dong Gyeongju Gyeongbuk 780-714 Korea Republic of

ISBN: (纸本)9781601320254

In this paper, we propose an incremental object perception model that is based on human-like selective attention. The proposed model integrates an object biased attention scheme with an incremental object representation mechanism. The object biased attention scheme can selectively pay attention to the candidates of an object in dynamic scenes based on a bottom-up selective attention in conjunction with a top-down biased attention mechanism for a specific object. An incremental principal component analysis (IPCA) is applied to extract efficient feature information for object representation. Also, a generative model based on an incremental Bayesian parameter estimation is used to perceive arbitrary objects in the selected areas. Combining an object biased attention with an incremental object perception model, the developed system can not only pay attention to a specific target object but also memory the characteristics of arbitrary objects by incremental manner. Experimental results show that the developed system generates good performance in successfully focusing on the target objects as well as incrementally perceiving arbitrary objects in natural scenes.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

The Application of Single- and Multi-Level Fast Evolution Strategies for the Reconstruction of Multiple Neuromagnetic Sources

The Application of Single- and Multi-Level Fast Evolution St...

引用

Joint Meeting of the International Symposium on Noninvasive Functional Source Imaging of the brain and Heart and the International Conference on Functional Biomedical Imaging (NFSI-ICFBI)

作者： Roland Eichardt Jens Haueisen Thomas R. Knosche Ernst G. Schukat-Talamazzini Institute of Biomedical Engineering and Informatics Technical University Ilmenau Germany Max Planck Institute for Human Cognitive and Brain Sciences Germany Institute of Practical Computer Science Friedrich-Schiller-Universitat Jena Germany

The localization of dipolar sources in the brain based on EEG or MEG data is a frequent problem in the neurosciences. Especially deterministic approaches often have problems in finding the global optimum of the associated non-linear optimization function, when two or more di poles are to be reconstructed. In such cases, probabilistic approaches turned out to be superior, but their applicability in neuromagnetic source localizations is not yet satisfactory. The objective of this study was the design of multi-level evolution strategies that perform better in such applications. We newly created nested fast evolution strategies which realize a combination of locally searching inner evolution strategies and globally searching outer fast evolution strategies. They were benchmarked and compared to single-level fast evolution strategy by conducting a two dipole fit with a MEG data set from a neuropsychological experiment. In the comparison, fast nested evolution strategies showed superior performance.

关键词： brain modeling Electroencephalography Simulated annealing Computational modeling Biomedical engineering Biomedical informatics Optimization methods computer simulation Humans computer science

来源：评论

学校读者我要写书评

暂无评论

Towards a brain-computer Interface for Dexterous Control of a Multi-Fingered Prosthetic Hand

Towards a Brain-Computer Interface for Dexterous Control of ...

引用

International IEEE/EMBS Conference on Neural engineering, CNE

作者： Soumyadipta Acharya Vikram Aggarwal Francesco Tenore Hyun-Chool Shin Ralph Etienne-Cummings Marc H. Schieber Nitish V. Thakor Departments of Neurology Neurobiology and Anatomy Brain & Cognitive SciencePhysical Medicine & Rehabilitation University of Rochester Medical Center Rochester NY USA Departments of Biomedical Engineering and Electrical & Computer Engineering Johns Hopkins University Baltimore USA

Advances in brain-computer interfaces (BCI) have enabled direct neural control of robotic and prosthetic devices. However, it remains unknown whether cortical signals can be decoded in real-time to replicate dexterous movements of individual fingers and the wrist. In this study, single unit activity from 115 task-related neurons in the primary motor cortex (Ml) of a trained rhesus monkey were recorded, as it performed individuated movements of the fingers and wrist of the right hand. Virtual multi-unit ensembles, or voxels, were created by randomly selecting contiguous subpopulations of these neurons. Non-linear hierarchical filters using artificial neural networks (ANNs) were designed to asynchronously decode the activity from multiple virtual ensembles, in real-time. The decoded output was then used to actuate individual fingers of a robotic hand. An average real-time decoding accuracy of greater than 95 % was achieved with all neurons from randomly placed voxels containing 48 neurons, and up to 80% with as few as 25 neurons. These results suggest that dexterous control of individual digits and wrist of a prosthetic hand can be achieved by real-time decoding of neuronal ensembles from the Ml hand area in primates.

关键词： brain computer interfaces Prosthetic hand Decoding Neurons Fingers Wrist Robot control Neural prosthesis Filters Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Dynamic-goal state equations for tracking reaching movements using neural signals

Dynamic-goal state equations for tracking reaching movements...

引用

IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： L. Srinivasan E.N. Brown Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology USA Department of Anesthesia and Critical Care Massachusetts General Hospital USA Department of Brain and Cognitive Sciences MIT USA

Motor prosthetic algorithms were recently proposed to combine target and path information to drive reaching arm movements to a static goal. In this paper, we extend two approaches to support goals that may themselves evolve over the duration of the reaching movement. The resulting probabilistic and control-based dynamic-goal reach state equations represent an intermediate level of user flexibility between static-goal reach state equations and unconstrained movement

关键词： Equations Tracking State estimation Prosthetics Stochastic processes Trajectory Random variables Uncertainty Anesthesia Hospitals

来源：评论

学校读者我要写书评

暂无评论

Stochastic policy gradient reinforcement learning on a simple 3D biped

Stochastic policy gradient reinforcement learning on a simpl...

引用

IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： R. Tedrake T.W. Zhang H.S. Seung Computer Science & Artificial Intelligence Lab Center for Bits & Atoms Massachusetts Institute of Technology Cambridge MA USA Department of Mechanical Engineering Brain & Cognitive Sciences Massachusetts Institute of Technology Cambridge MA USA Howard Hughes Medical Institute Brain & Cognitive Sciences Center for Bits & Atoms Massachusetts Institute of Technology Cambridge MA USA

We present a learning system which is able to quickly and reliably acquire a robust feedback control policy for 3D dynamic walking from a blank-slate using only trials implemented on our physical robot. The robot begins walking within a minute and learning converges in approximately 20 minutes. This success can be attributed to the mechanics of our robot, which are modeled after a passive dynamic walker, and to a dramatic reduction in the dimensionality of the learning problem. We reduce the dimensionality by designing a robot with only 6 internal degrees of freedom and 4 actuators, by decomposing the control system in the frontal and sagittal planes, and by formulating the learning problem on the discrete return map dynamics. We apply a stochastic policy gradient algorithm to this reduced problem and decrease the variance of the update using a state-based estimate of the expected cost. This optimized learning system works quickly enough that the robot is able to continually adapt to the terrain as it walks.

关键词： Stochastic processes Legged locomotion Learning systems Robust control Feedback control Robots Actuators Control systems State estimation Costs

来源：评论

学校读者我要写书评

暂无评论

Actuating a simple 3D passive dynamic walker

Actuating a simple 3D passive dynamic walker

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： R. Tedrake T.W. Zhang Ming-fai Fong H.S. Seung Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA USA Howard Hughes Medical Institute Brain & Cognitive Sciences Massachusetts Institute of Technology Cambridge MA USA

The passive dynamic walker described in this paper is a robot with a minimal number of degrees of freedom which is still capable of stable 3D dynamic walking. First, we present the reduced-order dynamic models used to tune the characteristics of the robot's passive gait. Our sagittal plane model is closely related to the compass gait model, but the steady state trajectory passively converges from a much larger range of initial conditions. We then experimentally quantify the stability of the mechanical device. Finally, we present an actuated version of the robot and some preliminary active control strategies. The control problem for the actuated version of the robot is interesting because although it is theoretically challenging (4 degrees of under-actuation), the mechanical design of the robot made it relatively easy to create controllers which allowed the robot to walk stably on flat terrain and even up a small slope.

关键词： Legged locomotion Robots Control systems Leg Energy efficiency Actuators computer science Artificial intelligence Mechanical engineering cognitive robotics

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共57页 << < 48 49 50 51 52 53 54 55 56 57 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：