Suchergebnisse - "Decoding algorithms"

Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control von Koyama, Shinsuke, Chase, Steven M., Whitford, Andrew S., Velliste, Meel, Schwartz, Andrew B., Kass, Robert E.

“… Neuroprosthetic devices such as a computer cursor can be controlled by the activity of cortical neurons when an appropriate algorithm is used to decode motor …”
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Comparative Analysis of Neural Decoding Algorithms for Brain-Machine Interfaces von Shevchenko, Olena, Yeremeieva, Sofiia, Laschowski, Brokoslaw

“… Accurate neural decoding of brain dynamics remains an open challenge in brain-machine interfaces. While various signal processing, feature extraction, and …”
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Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface von Seanez-Gonzalez, Ismael, Pierella, Camilla, Farshchiansadegh, Ali, Thorp, Elias B., Abdollahi, Farnaz, Pedersen, Jessica P., Mussa-Ivaldi, Ferdinando A.

“… We compare the effectiveness of two decoding algorithms that transform a high-dimensional body-signal vector into a lower dimensional control vector on six subjects with high-level SCI and eight controls …”
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Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses von Petrini, Francesco M., Mazzoni, Alberto, Rigosa, Jacopo, Giambattistelli, Federica, Granata, Giuseppe, Barra, Beatrice, Pampaloni, Alessandra, Guglielmelli, Eugenio, Zollo, Loredana, Capogrosso, Marco, Micera, Silvestro, Raspopovic, Stanisa

“… Findings To address this issue, in this work we acquired neural efferent activities from healthy subjects performing hand-related tasks using ultrasound-guided microneurography, a minimally invasive …”
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Static vs. dynamic decoding algorithms in a non-invasive body-machine interface von Seáñez-González, Ismael, Pierella, Camilla, Farshchiansadegh, Ali, Thorp, Elias B., Abdollahi, Farnaz, Pedersen, Jessica, Mussa-Ivaldi, Ferdinando A.

“… We compare the effectiveness of two decoding algorithms that transform a high-dimensional body-signal vector into a lower dimensional control vector on 6 subjects with high-level SCI and 8 controls …”
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Comparative analysis of neural decoding algorithms for brain-machine interfaces von Shevchenko, Olena, Yeremeieva, Sofiia, Laschowski, Brokoslaw

“… Accurate neural decoding of brain dynamics remains a significant and open challenge in brain-machine interfaces. While various signal processing, feature …”
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Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain–computer interface algorithms von Chase, Steven M., Schwartz, Andrew B., Kass, Robert E.

“… The activity of dozens of simultaneously recorded neurons can be used to control the movement of a robotic arm or a cursor on a computer screen. This motor …”
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Effective implementation of modern McEliece cryptosystem on generalized (L,G)-codes von Noskov, I.K., Bezzateev, S.V.

“… Subject of Research. The paper presents the study of methods and approaches to implementation of the modern McEliece cryptosystem based on separable generalized (L, G)-codes. Method …”
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Hamming Encoding and Decoding Algorithms for TDCS and WDCS Design von Sharma, Mrinal, Singh, Gagandeep

“… In Communication Systems many communication channels are subject to noise and other Errors due to the channel, and thus errors may be there during transmission process from the Transmitter to a receiver …”
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Reducing the complexity of LDPC decoding algorithms: An optimization-oriented approach von Sarajlic, Muris, Liang Liu, Edfors, Ove

“… Subject to specified performance constraints and adaptive to environment conditions, the proposed framework leverages the adjustable performance-complexity tradeoffs of the decoder to deliver …”
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On the key equation von Fitzpatrick, P.

“… We consider the set M.< > …”
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Reduced complexity decoding algorithms for low -density parity check codes and turbo codes von Chen, Jinghu

“… For both LDPC codes and turbo codes, optimum decoding algorithms can provide very good performance …”
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Brain-machine interfaces in rat motor cortex: implications of adaptive decoding algorithms von Otto, K.J., Vetter, R.J., Marzullo, T.C., Kipke, D.R.

“… Construction of a direct brain-machine interface (BMI) for neuroprosthetic purposes is at the forefront of many current neural engineering thrusts. Due to …”
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A cross-subject decoding algorithm for patients with disorder of consciousness based on P300 brain computer interface von Wang, Fei, Wan, Yinxing, Li, Zhuorong, Qi, Feifei, Li, Jingcong

“… ), which can directly connect the brain and external devices. However, the DOC patients' EEG differ significantly from that of the normal person and are difficult to collected, the decoding algorithm currently only is trained based on a small amount …”
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Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance von Mahmud, Hasan, Islam, A.K.M. Najmul, Luo, Xin (Robert), Mikalef, Patrick

“… Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms in decision-making, has emerged as a subject of growing scholarly interest …”
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Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm von Liang, Liyan, Zhang, Qian, Zhou, Jie, Li, Wenyu, Gao, Xiaorong

“… Most new SSVEP decoding algorithms are tested based on self-collected data or offline performance verification using one or two previous datasets, which can lead to performance differences when used …”
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A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data von Jin, Jing, Qin, Ke, Allison, Brendan Z., Li, Shurui, Zhang, Yutao, Wang, Xingyu, Cichocki, Andrzej

“… Training-based algorithms significantly outperform training-free methods in terms of recognition performance for steady-state visual-evoked potential …”
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SMMTM: Motor imagery EEG decoding algorithm using a hybrid multi-branch separable convolutional self-attention temporal convolutional network von Cao, DianGuo, Yu, ZhenYuan, Wang, Jinqiang, Wu, Yuqiang

“… Motor imagery (MI) is a brain-computer interface (BCI) technology with the potential to change human life in the future. MI signals have been widely applied in …”
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Weighted Filter Bank and Regularization Common Spatial Pattern-Based Decoding Algorithm for Brain-Computer Interfaces von Ye, Jincai, Zhu, Jiajie, Huang, Shoulin

“… The algorithm divides the signal into multiple frequency bands, adaptively assigns subject weights based on the mutual information maximization criterion, and optimizes the covariance matrix …”
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A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance von Meng, Jianjun, Edelman, Bradley J., Olsoe, Jaron, Jacobs, Gabriel, Zhang, Shuying, Beyko, Angeliki, He, Bin

“… The selection of control signals, e.g., the channel configuration and decoding algorithm, plays a vital role in the online performance and progressing of BCI control …”
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