Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms

The rapid growth of computational neuroscience and brain–computer interface (BCI) technologies require efficient, scalable, and biologically compatible approaches for neural data acquisition and interpretation. Traditional sensors and signal processing pipelines often struggle with the high dimensio...

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Detalhes bibliográficos

Principais autores:	Lingli Gan, Shuqin Yuan, Min Guo, Qian Wang, Zongfang Deng, Bin Jia
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-11-01
coleção:	Frontiers in Computational Neuroscience
Assuntos:	triboelectric nanogenerators neural data interpretation deep learning spiking neural networks neuromorphic computing brain–computer interfaces
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fncom.2025.1691017/full
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