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Optimizing Visual Stimulation Paradigms for User-Friendly SSVEP-Based BCIs
Optimizing Visual Stimulation Paradigms for User-Friendly SSVEP-Based BCIs 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
In steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems, traditional flickering stimulation patterns face challenges in achieving a trade-off in both BCI performance and visual comfort across various frequency… read more
Neural Decoding for Macaque’s Finger Position: Convolutional Space Model

Neural Decoding for Macaque’s Finger Position: Convolutional Space Model
Author(s)3: Haifeng Wu, Jingyi Feng, Yu Zeng
Neural Decoding for Macaque’s Finger Position: Convolutional Space Model 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

   In this paper, we study how to use the number of spike signals in a macaque’s motor cortex to estimate the position of its finger movement. First, we analyze…

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TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

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