对神经AI和合成生物智能的计算视角
Dhruvik Patel1,2,3, Md Sayed Tanveer1,2, Jesus Gonzalez-Ferrer4
1Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, 12180, NY, USA.
ArXiv
|November 24, 2025
概括
神经AI融合了神经科学和人工智能,以创建由大脑功能启发的智能系统. 这一领域,包括合成生物智能 (SBI),探索用于先进计算和体内智能的生物混合系统.
科学领域:
- 神经科学和人工智能 (AI)
背景情况:
- 神经AI将神经科学原理与人工智能集成在一起,用于智能系统设计.
- 合成生物智能 (SBI) 结合了生物神经网络学习与工程系统.
研究的目的:
- 审查NeuroAI景观,专注于硬件,软件和湿器领域.
- 概述结合生物和非生物系统的计算框架.
- 突出了有机智能,神经形态计算和神经符号学习方面的进步.
主要方法:
- 将NeuroAI领域组织成硬件,软件和湿件.
- 概述生物数字集成的计算框架.
- 审查关键子领域的最新进展.
主要成果:
- 三个相互影响的领域的识别:硬件,软件和湿器.
- 整合生物和非生物计算系统的框架.
- 在有机智能,神经形态计算和神经符号AI方面的进展.
结论:
- 神经AI正在通过活的神经组织和数字算法向新型系统计算迈进.
- 合成生物智能 (SBI) 为模拟神经计算和生物混合架构提供了一个平台.
- 这些领域的融合有望带来体现智能和计算的新形式.
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