Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866911896115871744 |
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| author | Shoaran, Mahsa Shin, Uisub Shaeri, MohammadAli |
| author_facet | Shoaran, Mahsa Shin, Uisub Shaeri, MohammadAli |
| contents | Integrating smart algorithms on neural devices presents significant opportunities for various brain disorders. In this paper, we review the latest advancements in the development of three categories of intelligent neural prostheses featuring embedded signal processing on the implantable or wearable device. These include: 1) Neural interfaces for closed-loop symptom tracking and responsive stimulation; 2) Neural interfaces for emerging network-related conditions, such as psychiatric disorders; and 3) Intelligent BMI SoCs for movement recovery following paralysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_10780 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology Shoaran, Mahsa Shin, Uisub Shaeri, MohammadAli Signal Processing Hardware Architecture Human-Computer Interaction Machine Learning Neurons and Cognition Integrating smart algorithms on neural devices presents significant opportunities for various brain disorders. In this paper, we review the latest advancements in the development of three categories of intelligent neural prostheses featuring embedded signal processing on the implantable or wearable device. These include: 1) Neural interfaces for closed-loop symptom tracking and responsive stimulation; 2) Neural interfaces for emerging network-related conditions, such as psychiatric disorders; and 3) Intelligent BMI SoCs for movement recovery following paralysis. |
| title | Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology |
| topic | Signal Processing Hardware Architecture Human-Computer Interaction Machine Learning Neurons and Cognition |
| url | https://arxiv.org/abs/2405.10780 |