A Comprehensive Review of Multimodal XR Applications, Risks, and Ethical Challenges in the Metaverse
专题命中 其他BCI :brain-computer interface(abstract);分类 cs.HC
Comments 43 Pages, 1 Figure, 3 Tables
Journal ref Interact. 2024, 8, 98
科学与医疗
脑机接口、EEG、神经信号解码、神经假体和脑控交互。
专题命中 其他BCI :brain-computer interface(abstract);分类 cs.HC
Comments 43 Pages, 1 Figure, 3 Tables
Journal ref Interact. 2024, 8, 98
专题命中 其他BCI :neural interface(abstract);分类 q-bio.NC
Comments This work has been submitted to the IEEE for possible publication
专题命中 其他BCI :neural decoding(abstract);分类 cs.LG
专题命中 其他BCI :brain-computer interface(abstract);分类 cs.HC
Comments 12 pages, 7 figures
专题命中 其他BCI :neural decoding(abstract);分类 cs.LG
Comments I request a withdrawal because there are no experiments with real-world datasets and also the method section requires major changes to look mathematically sounds
专题命中 其他BCI :brain computer interface(abstract);分类 cs.LG
专题命中 其他BCI :brain computer interface(abstract);分类 eess.SP
Comments 8 pages, 9 figures
专题命中 其他BCI :brain computer interface(abstract);分类 q-bio.NC
专题命中 其他BCI :neural interface(abstract);分类 cs.LG
Comments renew the ideas
专题命中 其他BCI :neural interface(abstract);分类 cs.HC
Comments White Paper
专题命中 其他BCI :brain computer interface(abstract);分类 cs.LG
Comments 16 pages, published in Applied Sciences 10, no. 21: 7630, 2020
Journal ref Applied Sciences 10, no. 21: 7630 (2020)
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
Comments 31 pages, 4 figures. Different pagination from journal version due to incompatible style files but same content; the supplemental file for the journal appears here as appendices B--E.
Journal ref Journal of the American Statistical Association, volume 105, 2010, pp. 170--180
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
专题命中 其他BCI :neural interface(abstract);分类 cs.LG
专题命中 其他BCI :brain-computer interface(abstract);分类 q-bio.NC
Comments 20 pages, 6 figures This is the ore-peer reviewed version of the following article: Hourani O, Charkari NM, Jalili S. Voxel selection framework based on metaheuristic search and mutual information for brain decoding. Int J Imaging Syst Technol. 2019;29: 663-676. https://doi.org/10.1002/ima.22353 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22353
Journal ref International Journal of Imaging Systems and Technology 29 (2019) 663-676
专题命中 其他BCI :neural decoding(abstract);分类 cs.LG
Journal ref PeerJ 9:e11046 (2021)
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
Comments This is an extended version of arXiv:1507.07813 and arXiv:1609.03519. Additions relative to the version presented in NIPS (arXiv:1507.07813) are outlined in the introduction
Journal ref Neural Computation 2018, Vol. 30, 2056-2112
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
Comments Reproducible results: associated Matlab toolbox available at http://isp.uv.es/docs/BioMultiLayer_L_NL.zip
专题命中 其他BCI :neural decoding(abstract);分类 cs.LG
Comments Published as a conference paper at the 2017 International Symposium on Information Theory (ISIT)
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
Comments To improve readability, this version has more material, more explanations, more figures, less symbols, and more demonstrations than the previous version
专题命中 其他BCI :brain-computer interface(abstract);分类 cs.LG
Comments 27 pages, 5 figures
专题命中 其他BCI :neural decoding(abstract);分类 q-bio.NC
Comments 5 pages, 4 figures, to appear in Phys Rev Lett
Journal ref Phys Rev Lett 110 (2013): 058104
专题命中 其他BCI :分类 eess.SP、cs.LG、cs.HC;brain-computer interface(comments)
Comments Submitted to 2023 11th IEEE International Winter Conference on Brain-Computer Interface
专题命中 其他BCI :brain-computer interface(comments,journal_ref);分类 q-bio.NC、cs.LG
Comments 6 pages, 2 figures, 9th Graz Brain-Computer Interface Conference 2024
Journal ref 9th Graz Brain-Computer Interface Conference (2024) 337-342
通过单步双光子3D打印实现全光纤集成内窥镜OCT探针
专题命中 其他BCI :neural interface(abstract)
AI总结 该研究开发了通过单步双光子3D打印制成的全光纤集成内窥镜OCT探针,采用系统级集成策略,实现即插即用更换,性能稳定,可用于离体生物样本成像,降低了内窥镜OCT的应用门槛。
通过共享高斯函数实现带多级纹理滤波(mipmapped)的空间变化双向反射分布函数(SVBRDF)的紧凑表示
专题命中 其他BCI :neural decoding(abstract)
AI总结 该研究提出GTC方法,通过共享2D高斯函数压缩带多级纹理滤波的SVBRDF纹理,相比ASTC实现更高重建质量与更低内存,支持随机访问和非神经解码,适用于实时渲染
研究用于神经编解码器鲁棒性的编解码器内部潜在音频水印
专题命中 其他BCI :neural decoding(abstract)
AI总结 研究神经音频编解码器中用于鲁棒性的水印,将32位消息嵌入连续潜在表示,采用SEANet风格编码器 - 解码器等技术,表征水印载体移动时的权衡,在48kHz语音上提升了EnCodec - 24k比特准确率并降低了PESQ。
Comments 7 pages. Submitted to IEEE Spoken Language Technology Workshop (SLT)
Shao:将声学令牌语言模型扩展至高保真音乐生成
机构 * Central Conservatory of Music(中央音乐学院) ; Tsinghua University(清华大学)
专题命中 其他BCI :neural decoding(abstract)
AI总结 该研究提出单一声学令牌层级内渐进建模音乐结构与保真度的框架,通过双阶段生成与混合注意力训练,无需异构空间即可实现高质量音乐生成。
用CLIP重新思考大脑解码:对抗鲁棒性的作用
机构 * The Graduate University for Advanced Studies (SOKENDAI)(高等研究院(索邦大学)) ; National Institute of Informatics(国立情报学研究所) ; The University of Tokyo(东京大学)
专题命中 其他BCI :neural decoding(abstract)
AI总结 研究用CLIP进行大脑解码时,探讨对抗鲁棒表示能否改善神经解码。通过固定fMRI解码器,在不同任务和数据集上改变目标表示,发现此方法能提升任务性能及特征对齐,表明对抗鲁棒性可作为大脑解码有用标准。
Comments 20 pages, 10 figures
ffdas:超高速体积超声重建
专题命中 其他BCI :brain-computer interface(abstract)
AI总结 针对体积超快超声成像的计算瓶颈,提出三种GPU优化策略(对齐内存访问、混合精度存储、利用张量核心),实现128³体素网格千赫兹帧率重建,显著超越现有方法,支持实时术中脑成像和脑机接口。