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基于神经科学文献感兴趣片段的跨物种脑认知知识图谱自动构建 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  朱洪银
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脑科学  跨物种  神经信息学  知识图谱  知识引擎  感兴趣片段  语料标注  术语识别  关系抽取  深度学习  
受情绪调控机制启发的机器人运动决策方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  黄销
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脑启发式计算  情绪生成与调节  情绪调控决策  基于模型动态规划  无模型学习  强化学习  
基于好奇心的类脑脉冲神经网络模型 学位论文
工程硕士学位, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  史梦婷
Adobe PDF(24143Kb)  |  Favorite  |  View/Download:29/0  |  Submit date:2020/06/16
类脑智能  脉冲神经网络  好奇心  可塑性  主动学习  
Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model 期刊论文
https://www.frontiersin.org/articles/10.3389/fnhum.2020.00128/full, 2020, 卷号: 14, 期号: 1, 页码: 128
Authors:  Zhu, Hongyin;  Zeng, Yi;  Wang, Dongsheng;  Huangfu, Cunqing
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brain science  neuroscience  PubMed  
ESI工程学领域热点论文(2020年03月) 其他
2020-03-20
Authors:  张桂英
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ESI计算机科学领域热点论文(2020年03月) 其他
2020-03-17
Authors:  张桂英
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Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships 期刊论文
NEUROIMAGE, 2020, 卷号: 207, 期号: 116370, 页码: 11
Authors:  Jiang, Rongtao;  Zuo, Nianming;  Ford, Judith M.;  Qi, Shile;  Zhi, Dongmei;  Zhuo, Chuanjun;  Xu, Yong;  Fu, Zening;  Bustillo, Juan;  Turner, Jessica A.;  Calhoun, Vince D.;  Sui, Jing
View  |  Adobe PDF(4262Kb)  |  Favorite  |  View/Download:23/1  |  Submit date:2020/03/30
Individualized prediction  Reading comprehension  Task state  Functional connectivity  Cognitive demand  
A Curiosity-Based Learning Method for Spiking Neural Networks 期刊论文
Frontiers in Computational Neuroscience, 2020, 卷号: 14, 期号: 14, 页码: 7
Authors:  Mengting Shi;  Tielin Zhang;  Yi Zeng
View  |  Adobe PDF(1349Kb)  |  Favorite  |  View/Download:32/6  |  Submit date:2020/04/27
Curiosity  Spiking Neural Network  Novelty  Stdp  Voltage-driven Plasticity-centric Snn  
ESI计算机科学领域热点论文(2020年01月) 其他
2020-01-16
Authors:  张桂英
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Computational modeling of Emotion-motivated Decisions for Continuous Control of Mobile Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 期号: 2020, 页码: 1-14
Authors:  Xiao Huang;  Wei Wu;  Hong Qiao
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Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning