Zobrazeno 1 - 10
of 25 526
pro vyhledávání: '"neural signal"'
Brain-computer Interface (BCI) applications based on steady-state visual evoked potentials (SSVEP) have the advantages of being fast, accurate and mobile. SSVEP is the EEG response evoked by visual stimuli that are presented at a specific frequency,
Externí odkaz:
http://arxiv.org/abs/2410.11867
Autor:
Duan, Yiqun, Zhang, Qiang, Zhou, Jinzhao, Sun, Jingkai, Jiang, Xiaowei, Cao, Jiahang, Wang, Jiaxu, Yang, Yiqian, Zhao, Wen, Han, Gang, Guo, Yijie, Lin, Chin-Teng
Recent advancements in humanoid robotics, including the integration of hierarchical reinforcement learning-based control and the utilization of LLM planning, have significantly enhanced the ability of robots to perform complex tasks. In contrast to t
Externí odkaz:
http://arxiv.org/abs/2410.02141
Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. Spiking Neural Networks (SNNs), with their neuronal dynamics and spike-based signal proces
Externí odkaz:
http://arxiv.org/abs/2410.03533
Autor:
Guo, Liyuan, Weiße, Annika, Zeinolabedin, Seyed Mohammad Ali, Schüffny, Franz Marcus, Stolba, Marco, Ma, Qier, Wang, Zhuo, Scholze, Stefan, Dixius, Andreas, Berthel, Marc, Partzsch, Johannes, Walter, Dennis, Ellguth, Georg, Höppner, Sebastian, George, Richard, Mayr, Christian
Multi-channel electrophysiology systems for recording of neuronal activity face significant data throughput limitations, hampering real-time, data-informed experiments. These limitations impact both experimental neurobiology research and next-generat
Externí odkaz:
http://arxiv.org/abs/2407.09166
Akademický článek
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Autor:
Liyuan Guo, Annika Weiße, Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schüffny, Marco Stolba, Qier Ma, Zhuo Wang, Stefan Scholze, Andreas Dixius, Marc Berthel, Johannes Partzsch, Dennis Walter, Georg Ellguth, Sebastian Höppner, Richard George, Christian Mayr
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionMulti-channel electrophysiology systems for recording of neuronal activity face significant data throughput limitations, hampering real-time, data-informed experiments. These limitations impact both experimental neurobiology research and
Externí odkaz:
https://doaj.org/article/d5b9d0172f8041e9821fed4df683b1e5
Autor:
Yang, Yiqian, Duan, Yiqun, Zhang, Qiang, Jo, Hyejeong, Zhou, Jinni, Lee, Won Hee, Xu, Renjing, Xiong, Hui
Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implanta
Externí odkaz:
http://arxiv.org/abs/2403.01748
Akademický článek
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Autor:
Zhang, Ruohan, Lee, Sharon, Hwang, Minjune, Hiranaka, Ayano, Wang, Chen, Ai, Wensi, Tan, Jin Jie Ryan, Gupta, Shreya, Hao, Yilun, Levine, Gabrael, Gao, Ruohan, Norcia, Anthony, Fei-Fei, Li, Wu, Jiajun
We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. Through this interface, humans commun
Externí odkaz:
http://arxiv.org/abs/2311.01454
Akademický článek
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